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Running Title: Comparison of Traditional Homework with Computer Supported Homework Full Title: Improving Learning from Homework Using Intelligent Tutoring Systems Michael Mendicino Educational Psychology Program College of Human Resources and Education 506 Allen Hall West Virginia University Morgantown, West Virginia 26506 USA Neil T. Heffernan Department of Computer Science, Fuller Labs 237 Worcester Polytechnic Institute 100 Institute Road, Worcester, MA 01609-2280 USA Leena Razzaq Department of Computer Science, Fuller Labs 312 Worcester Polytechnic Institute 100 Institute Road, Worcester, MA 01609-2280 USA Abstract A recent congressional study found no evidence that educational math software used in the classroom helped raise state test scores. However, does doing your homework with a web-based feedback system lead to more learning when compared to traditional paper and pencil homework? The state of Maine licensed laptops for every middle school student in the state, and 40% of the schools let students take them home each night. Would nightly homework done on computers lead to better learning, and if so, how big would the effect be? This study compared learning in the domain of math for fifth grade students in two homework conditions. The paper-and-pencil condition represented traditional

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Running Title: Comparison of Traditional Homework with Computer Supported Homework

Full Title: Improving Learning from Homework Using Intelligent Tutoring Systems

Michael Mendicino Educational Psychology ProgramCollege of Human Resources and Education506 Allen HallWest Virginia UniversityMorgantown, West Virginia 26506USA

Neil T. HeffernanDepartment of Computer Science, Fuller Labs 237Worcester Polytechnic Institute 100 Institute Road, Worcester, MA 01609-2280USA

Leena RazzaqDepartment of Computer Science, Fuller Labs 312Worcester Polytechnic Institute 100 Institute Road, Worcester, MA 01609-2280USA

Abstract

A recent congressional study found no evidence that educational math software used in the classroom helped raise state test scores. However, does doing your homework with a web-based feedback system lead to more learning when compared to traditional paper and pencil homework? The state of Maine licensed laptops for every middle school student in the state, and 40% of the schools let students take them home each night. Would nightly homework done on computers lead to better learning, and if so, how big would the effect be? This study compared learning in the domain of math for fifth grade students in two homework conditions. The paper-and-pencil condition represented traditional homework where the teacher reviewed problems the following day. The web-based tutoring condition provided immediate feedback in the form of hints on demand to students. We analyzed the results for students who had internet access at home and who completed both the paper-and-pencil and the web-based conditions. In this group of twenty-eight students, students learned more when given computer feedback than when doing traditional paper-and-pencil: the t-test showed a p-value of 0.05 with an effect size of 0.61 and confidence interval of 0.08 – 1.15. The implications of this study are that given the large effect size, it is probably well worth the cost and effort to give web-based homework in a place like Maine where students can have access to the equipment they need. We conclude that web-based homework shows a very large effect size and is an area worthy of future study.

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Introduction

Web-based homework assistance is already popular in colleges. Blackboard (www.blackboard.com), WebAssign, (webassign.com), MasteringPhysics (masteringphysics.com) and WeBWorK (http://webwork.rochester.edu) are all systems that have thousands of student users at the college level, but K-12 web-based homework assistance lags behind. Systems such as Study Island (www.studyisland.com) and PowerSchool (powerschool.com) are gaining popularity with K-12 teachers and it seems likely that the use of web-based homework assistance for K-12 will increase as the digital divide between students narrows, teachers become more comfortable with the technology and teachers have access to systems that have lower costs or that are free. The important question is, do such systems help students to learn more than doing traditional paper and pencil homework?

With recent advances in educational technology teachers now have a multitude of tools from which to choose to assist and enhance student learning and motivation. New intelligent tutoring systems that guide students through math problems much the same way human tutors do have been successful in causing students to learn math in the classroom. Some systems attempt to imitate a human tutor by reproducing the interactive dialog patterns and strategies that were likely to be used by a human tutor while others provide immediate feedback by highlighting each step attempted in either red or green to indicate a right or wrong answer. They may also provide hint sequences for students asking for help. Whether the level of interactivity is causing learning has not yet been determined, but it appears to be at least an important component.

A U.S. Congress mandated study (Dynarski et al, 2007) reported that classrooms using selected math and reading educational software products did not differ significantly on standardized tests when compared to classrooms that did not use the products. This study has caused some to call into question the utility of education software. This might suggest that we should stop wasting time producing computer-based systems; however the Dynarski study looked at computers used during the school day and not as a homework delivery system.

In this study, we attempt to determine if fifth grade students can learn more by doing their math homework with a web-based intelligent tutoring system than when doing traditional paper-and-pencil homework (PPH). We conducted this experiment using the ASSISTment System which is a web-based system that provides both interactive scaffolding and hints on demand. We will first review studies of web-based homework assistance systems and then we review systems that support interactivity in tutoring and those that do not, before focusing on the ASSISTment system used in this evaluation.

The use of web-based systems for homework

Web-based systems that allow students to do their homework online such as Blackboard (www.blackboard.com), WebCT (www.webct.com), Homework Service (https://hw.utexas.edu/bur/overview.html) and WeBWorK (http://webwork.rochester.edu) are becoming more widely used. At the K-12 level, systems such as Study Island

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(studyisland.com) and PowerSchool (powerschool.com) are gaining popularity among teachers.

Some states, such as Maine, Indiana, Michigan and Virginia, have begun to implement one-to-one computing (Bonifaz and Zucker, 2004) in schools where each child gets his/her own laptop to use during school and often to take home as well. In fact, the Maine Learning Technology Initiative (2002-2004) supplied every Maine seventh and eighth grade student and their teachers with laptop computers, with 40% of the middle schools allowing students to take their laptops home. There are few research studies on the effects of one-to-one computing on teaching and learning; however teachers report that students in one-to-one computing programs are more engaged, motivated and interact better with teachers (Silvernail, & Lane, 2004; Bebell, 2005). At the same time, there has been opposition (widely published) that cites the high cost, potential access to inappropriate material and lack of proven impact on student achievement (Vascellaro, 2006; Hu, 2007) as reasons to abandon one-to-one computing programs. Still, the number of U.S. schools adopting one-to-one computing programs continues to increase very year according to a survey conducted by the (11 million blah…cited by NY…) Hayes Connection1. As the digital divide narrows and more states become committed to one-to-one computing, the opportunities for students to do their homework online increase. The important question is, do students learn more by using computers to do their homework than by doing traditional paper and pencil homework?

Advantages of homework assistance systems are immediate feedback to students and automatic grading for instructors. Automatic grading can be helpful by saving time for teachers who do not have time to grade all of their students’ paper-and-pencil homework carefully by hand and by prompting students to take homework more seriously because they know it will be graded and the grade recorded. With these systems, students can get immediate feedback on their answers to problems and sometimes hints, but many of these systems require students to enter a single answer for each problem and do not take students’ work into consideration.

Although there are benefits to using these web-based homework assistance systems, there can be disadvantages too. Students may try to do more math in their heads and do less scrap work which can help them to be more organized. Teachers may spend less time looking at student work and figuring out exactly where they are having difficulties. Because these systems often do not consider student work, cheating may be easier among students.

Research has shown positive results for using intelligent tutors instead of traditional paper and pencil homework. “MasteringPhysics” is a web-based physics homework tutor developed at MIT and uses mastery learning to help students reach mastery when solving physics homework problems. Students can request hints on problems and can receive feedback on common student errors. Some hints will ask a question that behaves like “scaffolding questions” in the ASSISTment system. Warnakulasooriya & Pritchard (2005) found that twice as many students were able to complete a set of problems in a given time with the help provided with MasteringPhysics when compared to students that worked on the problems without help (administered by MasteringPhysics but without hints or feedback).

1 http://www.ads2006.org/main/pdf/ADS2006_Press_Release_5Jul06.pdf

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Quantum Tutors (http://www.quantumsimulations.com/) is a web-based system that is commercially available for students to do homework in the sciences and math. Students can choose topics to work on, enter their own problems and choose from a list of questions they may have on particular problems. For instance, students working on percents can choose “I need to find the percentage one number is of another” and solve problems provided by the system or enter their own values to solve. They can also choose from a list of questions such as “Why would I want to convert a percent to a fraction?” In a press release, Quantum Tutors describes a week-long study done in 2005 (http://www.quantumsimulations.com/news15.html), where students using Quantum Tutors for homework in a high school chemistry course outperformed a control group that did paper-and-pencil homework on a post-test by just over a full letter grade. The difference between groups became larger as the problems increased in difficulty.

The Andes system is an intelligent tutoring system that provides support for problem-solving for physics homework. Andes requires students to complete whole derivations step-by-step and offers feedback after each step. Students can also ask for hints on each step to find out the nature of their error (What’s Wrong Help) or to get help on what the next step is (Next Step Help). Andes was used and evaluated in introductory physics classes from 1999 – 2003 at the U.S. Naval Academy. VanLehn et al (2005) presented evidence that students who used Andes for homework got significantly higher exam scores than students in control groups who did pencil and paper homework. Other studies of web-based physics homework vs. pencil-and-paper homework did not find significant differences between the two (Pascarella, 2002; Bonham, Deardorff, & Beichner, 2003). The Andes studies seem to be the most closely related to our comparison of ASSISTments and paper-and-pencil homework and this study attempts to replicate Andes’ positive results.

Human Tutoring

More interactivity has arguably lead to better learning in several studies. For example, Graesser, Person and Magliano (1995) suggest that it is the interactive nature of dialog that accelerates learning during human tutoring. They suggest that keeping students on track and preventing them from following “garden paths” of unproductive reasoning is the most important thing tutors do. Chi, Siler, Jeong, Yamauchi and Hausmann compared tutors who were trained to be more interactive by using content-free prompting with untrained tutors who did most of the talking and were less interactive. While learning gains in the two groups did not differ significantly, students who learned more also were more interactive during tutoring. Graesser, Person and Harter (2001) compared reading a computer textbook to natural language computer tutoring designed to emulate tutorial dialogues and found that tutored students learned more than the students who studied the textbook. Graesser et al., (2003) replicated this finding in the task domain of physics.

VanLehn, Siler & Murray (1998) studied what makes a tutorial event successful and identified several principles for effective teaching. They found that when students are given an answer to a missed question they do not get the opportunity to reason through the problem and do not learn problem solving strategies. Therefore, they suggest tutors should not offer strong hints to students nor apply rules to problems themselves. While

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comparing human tutors with intelligent tutoring systems, Merrill, Reiser, Ramey and Tafton concluded that human tutors were more effective because they let students do most of the work in overcoming impasses. Tutors provided as much assistance as necessary. VanLehn, Siler, & Murray, (2003) also found that allowing students to reach impasses correlated with learning gains.

Other studies failed to find evidence that the relationship between interactivity and learning exits. Rose`, Bhembe, Siler, Srivastava and VanLehn (2003) compared computer-based natural language tutoring to reading multi-paragraph explanations that were written to have the same content as a maximally long tutorial dialogue. They found that tutored students learned no more than students who read the content instead of interacting with the computer tutor. VanLehn et al. (2005) conducted several experiments and stated that “it is safe to say that the common belief that interactive instruction is always better than non-interactive instruction is probably unwarranted given our results and those from earlier work”. They suggest that reading vs. one-on-one interactive spoken tutoring; two extreme forms can produce the same gains under certain conditions. Katz, Connelly and Allbritton (2003) compared trained tutors in interactive tutoring to students reading text. After a computer presented a problem, students in the reading condition would read the correct answer in paragraph form. Students in the tutoring condition had a computer-mediated dialogue with an expert tutor. Tutored students did not learn more than reading students.

Dialog-based Intelligent Tutors

The Tutoring Research Group at the University of Memphis has developed Auto Tutor (Graesser et al. 2001), an intelligent tutoring system (ITS) that helps students construct answers to computer literacy questions and qualitative physics problems by holding a conversation in natural language thus taking advantage of the interaction hypothesis. AutoTutor attempts to imitate a human tutor by reproducing the dialog patterns and strategies that were likely to be used by a human tutor. AutoTutor presents questions and problems from a curriculum script, attempts to comprehend learner contributions that are entered by keyboard, formulates dialog moves that are sensitive to the learner’s contributions and delivers the dialog moves with a talking head that simulates facial expressions and speech to give the impression of a discussion between the tutor and student (Graesser et al. 1999). AutoTutor has produced gains of 0.4 to 1.5 standard deviations depending on the learning performance measure, the comparison condition, the subject matter, and the version of AutoTutor (Graesser et al. 2003).

Rosé et al. (2001) integrated Atlas and the Andes system to compare a model-tracing ITS with an ITS incorporating dialog. Atlas facilitates incorporating tutorial dialog while Andes is a model-tracing ITS for quantitative physics that provides immediate feedback by highlighting each step attempted in either red or green to indicate a right or wrong answer. Andes also provides a hint sequence for students asking for help. The researchers were able to compare student learning between the original Andes and the integrated Atlas-Andes with dialog. Atlas-Andes students scored significantly higher on posttest measures with a difference of 0.9 standard deviations.

The ASSISTment System

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Assistance and assessment are integrated in a web-based system called the ASSISTment System which offers instruction to students while providing a detailed evaluation of their abilities to teachers. Each time students work on the website, the system “learns” more about the students’ abilities. The ASSISTment System is being built to identify the difficulties individual students - and the class as a whole – are having and teachers will be able to use this detailed feedback to tailor their instruction to focus on those difficulties identified by the system. Unlike other assessment systems, the ASSISTment system also provides students with intelligent tutoring assistance while assessment information is collected. The hypothesis is that ASSISTments can do a better job of getting students to learn from homework than traditional paper-and-pencil homework by providing immediate feedback on answers and tutoring on items that students get wrong. Teachers can also assess their students’ knowledge limitations better by noting the amount and nature of the assistance students need to finish their homework. Figure 1 shows a screenshot of an ASSISTment item with three scaffolding questions.

The ASSISTment System provides students with two types of intelligent tutoring assistance when they answer a question incorrectly, scaffolds and hints. In the scaffolding condition the student receives the message “Hmm, no. Let me break this down for you” and is immediately presented with a scaffolding question that breaks the problem into pieces or sub-questions that the student must answer correctly in order to continue and receive the next scaffolding question. The student must answer the scaffolding questions before returning to the original question, that is, the student is forced to work through the problem. The scaffolding condition provides a more interactive learning experience for students than the hints condition. In the hints condition the student receives the message “Sorry, that is not correct” (or a buggy message which addresses the specific error) when he answers a question incorrectly, at which time the student may request a hint by pressing the hint button. The student will not see the hint message unless it is requested.

Initial studies with the ASSISTment System, Razzaq et al., (2005) found that students were learning eight grade math while using the system. Students given scaffolding questions showed large gains when compared to students given hints upon demand. However, the researchers discovered a selection-bias in which only the better students completed the curriculum in the scaffolding condition, thus invalidating the results. The researchers concluded that they were not sure if the learning was due to the students getting more practice on math problems or more due to the “intelligent tutoring” (scaffolding questions) that were created and that forced students to participate by answering sub-questions if they incorrectly answered the original question.

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Figure 1: An ASSISTment showing three scaffolding questions

Razzaq and Heffernan, (2006) conducted an experiment with the ASSISTment System to see if all the time invested in scaffolding questions was worth it in terms of student learning. They used a set of 4 items involving slope and intercept problems which were considered to be difficult for students based on previous ASSISTment data. Four other items were chosen as transfer items with two being presented at the beginning of the experiment to serve as pre-test items. Learning gains were compared between students given scaffolding questions that forced them to complete each step required to solve a problem and students given hints on demand that would tell them the same information without expecting an answer to each step. In the first analysis that looked at

The original questiona. Congruenceb. Perimeterc. Equation-Solving

The 1st scaffolding question

Congruence

The 2nd scaffolding question

Perimeter

A buggy message

A hint message

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average scores on transfer items by condition, the results showed a p-value of 0.117, with an effect size of 0.3 at the 95% confidence level. They interpret these findings as somewhat weak evidence in support of the scaffolding condition. In the second analysis, they looked at scores on particular posttest items students had seen as pretest items. Results showed a statistically significant p-value of 0.005 with an effect size of 0.85 at the 95% confidence level. The researchers speculated that when the slope and intercept problems were difficult for students the scaffolding may have had a more positive effect on learning. They suggest the link between item difficulty and the effectiveness of scaffolding deserves further study.

Following up on the above study Razzaq and Heffernan, (2007) conducted a study to investigate the link between the difficulty of an item and the effectiveness of scaffolding and to also investigate if ASSISTments can lead to better learning than traditional paper-and-pencil homework. The ASSISTments contained three levels of feedback including scaffolding, hints on demand and delayed feedback which represented the traditional homework condition. The System accepted whatever answer the student gave and did not provide any feedback until the end of the assignment to simulate the delayed feedback condition. Feedback consisted of answers and explanations of how to solve the problems. Therefore, when students worked on this assignment in the ASSISTment System, they were randomly assigned to one of the levels of feedback. No significant differences were found on the post-test by condition, but typical students benefited more from the scaffolding condition, while honors students benefited more from the delay feedback condition. The researchers speculated that the interactive nature and the coaching provided by the scaffolding condition helped less proficient students more, while the more proficient students were helped more by seeing problems worked out and seeing the big picture. Students in the delayed feedback groups, whether proficient or less proficient, performed better than students in the hints condition.

Mendicino, Heffernan and Razzaq (submitted) investigated learning algebra word problems using an intelligent tutoring system for homework and classroom instruction. The tutoring system provided intelligent feedback in the form of scaffolds and simple computer-based feedback that told students the answer. The results showed that students in the scaffolding condition learned at least as much as students in the non scaffolding condition and, moreover, persisted to work harder on their homework. The researchers speculate that this was probably due to the fact that the intelligent tutoring kept them more motivated.

The purpose of this experiment was to determine if web-based homework is more useful (produces more learning) than traditional paper-and-pencil homework (PPH) and if more interactive tutoring with dialog is better than hints on demand. We conducted this experiment using the ASSISTment System which is a web-based system that provides both interactive scaffolding and hints on demand.

Methodology

Setting and Participants. The setting for this study was four fifth grade classrooms and students’ home computers. The school was located in a small town in a rural county. Approximately three hundred fifty students were enrolled at the time of the study with at least 50% receiving free or reduced lunch. All four classes were typical elementary

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classes with a mix of below, average, and above average students. One class contained a total of twenty-three students, ten female and thirteen male, twelve of which had internet access at home. One student in this class was absent during the experiment and therefore did not participate. The second class had twenty-five students, thirteen female and twelve male, and fifteen with internet. One student in this class was absent during the experiment. The third class had a total of twenty-three students, thirteen female and nine male, with seventeen having internet at home. Finally, the fourth class had a total of twenty-two students, ten female and twelve male, with ten having internet at home. Three students in this class were absent for at least two of the four days of the experiment and therefore did not participate. In addition, three students in this class were non-readers which precluded them from participating in the experiment. The total numbers of students available for the study was ninety-two with fifty-four having internet access at home.

Content. There were two problem sets, in both the computer homework and the paper-and-pencil homework assignments each consisting of ten problems. One problem set consisted of number sense problems and the other was a mix of problems. The Number Sense problem set included problems for which students had to demonstrate understanding of numbers, ways of representing numbers, and relationships among numbers and number systems. Typical problems included the following: 1) Which of the following shows the numbers in order from least to greatest? and 2) Marta is plotting points on the number line above. Between which two numbers should Marta plot -21/2? The Mixed problem set included problems in the algebra, geometry and data analysis and probability domains. Students had to demonstrate understanding of patterns, relations, and functions; specify locations and describe spatial relationships using coordinate geometry and other representational systems; develop and evaluate inferences and predictions that are based on models; and apply and demonstrate an understanding of basic concepts of probability. Typical problems included: 1) the table above shows the number of pounds of fertilizer needed to cover a given area. Based on the pattern in the table, how many pounds of fertilizer are needed to cover 600 square yards? and 2) Mr. Young wrote five numbers on the board in his classroom. After class, one of the numbers was erased. Four of the five numbers are shown below. 18 25 30 17? If the median of the five numbers that Mr. Young wrote on the board was 18, which of the following could be true? And 3) Bridget created the input output table shown above. Which of the following is true for all values in Bridget’s input output table?

The worksheets that students completed for paper-and-pencil homework assignments were identical to the computer homework assignment items. This was possible because each class did the number sense or mixed problem set for computer homework and the opposite curriculum for paper-and-pencil homework. This will be explained in detail in the procedures section below. The pre-test and post-test items were “morphs” of the number sense and mix computer curriculums and were designed to have different surface features such as names and numbers while keeping the same deep features or knowledge requirements like analyzing patterns. Finally, the same hints used in the computer problem sets on the web-based tutor were used while going over paper-and-pencil homework problems in class to ensure that each class had the same instruction.

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Procedures. Two of the four classes were assigned to the computer first group and two were assigned to the paper-and-pencil first group. Within each group one class was assigned the number sense set and the other was assigned the mixed set. On day one of the experiment, students in all four classes were given the appropriate pre-test (two classes were administered the number sense pre-test, and two the mixed pre-test). (See Appendix A for sample pre- and post-tests). So for both conditions, computer-based homework and paper-and-pencil homework, one class was completing the number sense assignment while the other class completed the mixed assignment.

After completing the pre-test, each class in the paper-and-pencil homework condition was given a worksheet containing ten problems to complete for homework. (See Appendix B for sample worksheet problems).They were instructed to bring the worksheet to school the following day so the teacher could go over it and answer any questions they had. Students in each class in the computer homework condition completed their pre-tests then were taken to the media room where they were instructed in how to log into the ASSISTment System. They all were given a school identifier which was the same for all students, then given an individual screen name that consisted of their first name and last initial. After each student logged into the system they were shown how to select their teachers’ names and how to select their homework for the evening. They were also instructed on how to select and work on a demonstration problem to familiarize themselves with the system and how problems were presented. The demonstration problems were not a part of their homework problems. (See Appendix C for sample computer/ASSISTment problems). Students in the computer homework condition were randomly assigned by the computer either to the scaffolding condition or the hints condition.

On day two, the students in the paper-and-pencil condition were given the answers to their worksheet problems and then given the opportunity to ask questions for review. When answering questions the teacher used the exact hints used in the computer hints condition to ensure uniformity across groups. The review was limited to ten minutes per group. Post-tests were then administered to students. The two classes in the computer condition were administered posttests on day two. (See Appendix D for sample hints). Days three and four followed the same procedures as days one and two, but the groups were reversed. That is, the two classes in the computer condition switched with the two classes in the paper-and-pencil condition and the two classes that did number sense problems switched with the two classes doing mix problems.

Experimental Design. A counterbalanced experimental design was used in this study in which students in two classrooms participated in the computer homework condition first while students in the other two classrooms participated in the paper-and-pencil condition first. All students participated in both computer and paper-and-pencil conditions and all students were given pre-tests and post-tests for each condition in which they participated. The experiment took four days. In the computer first group, one class was given a pre-test for the number sense curriculum and the other class was given a pre-test for the mix curriculum. Students were then given a homework assignment consisting of ten problems in their respective curriculums on the computer system. Students were randomly assigned by the computer to either a scaffolding condition or a hints condition. After completing

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the computer homework they were given post-tests. The groups were then reversed with the number sense group given the mix pre-test and the mix group given the number sense pre-test. Both groups were then given a paper-and-pencil homework assignment that consisted of ten problems on a worksheet for their respective curriculums. They were given post-tests on the following day. The paper-and-pencil first group participated in the same overall experimental design. (See Table 1 for the overall experimental design).

Table 1: Overall Experimental Design

Computer first groupDay Teacher A Teacher B

Monday Pretest Number Sense Intro to Computer

Computer AssignmentRandomly assigned

By computerscaffolds hints

Pretest MixedIntro. to Computer

Computer AssignmentRandomly assigned

By computerscaffolds hints

Tuesday Posttest Number Sense Posttest MixedWednesday Pretest Mixed

Paper-and-pencil Assignment

Pretest Number SensePaper-and-pencil

assignmentThursday Review Assignment

Posttest MixedReview Assignment

Posttest Number Sense

Paper-and-Pencil First GroupDay Teacher C Teacher D

Monday Pretest MixPaper-and-pencil

Assignment

Pretest Number SensePaper-and-pencil

assignment

Tuesday Review AssignmentPosttest Mix

Review AssignmentPosttest Number Sense

Wednesday Pretest Number SenseIntro to Computer

Computer AssignmentRandomly assigned

By computerscaffolds hints

Pretest MixIntro. to Computer

Computer AssignmentRandomly assigned

By computerscaffolds hints

Thursday Posttest Number Sense Posttest Mix

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Results

There were a total of ninety-three students in the four classes. Of the ninety-three students, five were absent during all or part of the study, another six missed part of the study due to activities in which they were involved outside of the classroom and six students were non-readers. These students did not participate in the study which left a total of seventy-six students. Only fifty-four of those students however, had internet available at home and could participate fully in the study. Of these fifty-four students, 31 students (57%) started the computer based homework, but two of them reported technical difficulties and were not able to complete the assignment. Another student in this group did not complete his paper and pencil homework, so we wound up analyzing the 28 remaining students (52%) when comparing computer homework to paper and pencil homework. Another 15 students with internet did paper and pencil homework only for a total of 43 students out of 54 students (79.6%) who attempted or completed at least one of the assignments. Fifteen additional students without internet completed their paper and pencil assignments for a total of 60 (78%) out of 76 students. These percentages may be a little misleading, because in one class only three students out of fifteen students who had internet did the assignment at home as instructed, but ten other students completed the assignment in the morning on computers at the school. Since those ten students did not actually do the computer assignment at home, we chose to count those students as not having completed the computer homework assignment. This class had a substitute teacher that day and we speculate that the substitute may not have impressed upon the children the importance of doing the assignment at home and this may have accounted for the lower than expected participation rate in this class. When we exclude this class from the above analysis the participation rates would be the following: 26 out of 39 students with internet completed the CHW (67%); 31 out of 39 with internet completed PPH (79%); 25 out of 39 completed both (64%); 32 out of 39 did at least one assignment (82%). See Table 2.

For the following analyses, t-tests were run on the computer gain scores from pre-test to post-test and on the paper-and-pencil gain scores from pre-test to post-test. There was learning in both conditions; however, when comparing the main effect of computer homework as a whole (scaffolding & hints) and paper-and-pencil homework including only those students who completed the computer homework and the paper and pencil homework, there was a statistically significant difference in favor of the computer homework condition. The results showed a p-value of 0.051 with an effect size of 0.61 (See figure 2). The 95% confidence interval for this effect size of 0.61 is [0.08 – 1.15].

An Analysis of Variance (ANOVA) was run to see if there was differential learning between the two computer conditions, scaffolding and hints. The mean for students in the hints condition was 2.47, while for students in the scaffolding condition it was 2.17. The results were not statistically significant, p-value of .716. (See Figure 4). An item analysis was then performed and items four and five in the number sense curriculum were found to be the most difficult problems for students according to their pretest averages. Razzaq, Heffernan and Lindeman (2007) found significantly different rates of learning for scaffold items that were more difficult, so an ANOVA was performed to see if item difficulty had any effect on learning between scaffolding and hints. For item five the scaffolding mean was .3333 and .1579 for hints and for item four the mean was .1429 for scaffolding and .1111 for hints. Neither item was statistically significant.

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We observed that students who had scaffolding did tend to spend more time on their homework. The average time spent on the computer doing homework was twenty-four minutes and fifteen seconds. Students in the scaffolding condition averaged almost thirty minutes (29.54) and the students in the hints condition spent a little more than eighteen minutes (18.17).

Discussion

In this experiment, we were able to replicate results found by VanLehn et al. (2005) for physics homework done in the Andes system. We found that students had significantly higher learning gains when doing homework on the computer as compared to when they did homework in a traditional paper-and-pencil manner. In these results we did not separate out the conditions of scaffolds and hints, but looked at the computer system as a whole when comparing it to paper-and-pencil homework. A substantial effect size (.61) was found in favor of students doing homework via computer for students that completed both computer-based homework and pencil-and-paper homework.

When we did separate scaffolds and hints conditions, we failed to find any statistically significant differences. We did not predict this and this finding does not support the interaction hypothesis that suggests that more interactivity, i.e., interactive dialogue, enhances learning (e.g., Razzaq, Heffernan, Lindeman, 2007; VanLehn et al, 2005). We suggest several possible reasons for these findings. First, we cite the low number of participants in the study. Second, we feel that a general lack of familiarity with the system may have contributed to these results. For example, perhaps we did not give students enough prior work on the system to get comfortable with the difference between the scaffolds and hints. One major difference is that students in the scaffolding condition get immediate feedback in the form of tutoring if they get a question wrong. They are forced to answer a sub-question before proceeding through the problem. The hints condition does not force students to work through the problem, but gives them the opportunity to ask for a hint that they may use in understanding and solving the problem. In particular, when students received tutoring through the scaffolding condition the problem was broken into sub-problems that students had to answer before returning to the original question. This may have caused confusion among students as they were trying to answer the original question and not the sub-problem.

Conclusion

As more and more web-based homework assistance systems become available, teachers can take advantage of the convenience of having homework automatically graded and recorded and students can benefit more if they take homework more seriously when they know it will be recorded.

By using a system such as the ASSISTment system, students can learn more than they would by doing their homework with paper and pencil. Students get immediate feedback on their answers and help when they need it. With the ASSISTment system, teachers can also pinpoint exactly where students are having difficulties and get reports on skills to address for individual students or the class as a whole (Feng, Heffernan & Koedinger, 2006), thus allowing teachers to spend time addressing shortcomings. Content

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is relatively easy to develop in the ASSISTment system and can be created in a fraction of the time needed to develop content in other intelligent tutoring systems (Heffernan, Turner, Lourenco, Macasek, Nuzzo-Jones, Koedinger, 2006). One limitation of the ASSISTment system is that it is not able to grade open responses or essay-type questions and teachers are limited to multiple choice or short answer questions.

In this study, we were limited by the number of students who did not have internet at home. As the digital divide narrows and more K-12 students have access to computers and internet at home, more teachers can take advantage of the promise of web-based homework assistance systems.

Future work

For future studies, we would like to determine if the results of this study have external validity. We would run the study with more students who have had more experience with the system. We would also like to find out if the results generalize for students in other grades and over longer periods of time.

References

Bebell, D. “Technology promoting student excellence: an investigation of the 1st year of 1:1 computing in New Hampshire middle schools”. Technology and Assessment Study Collaborative. May 2005. www.intasc.org

Bonham, S. W., Deardorff, D. L., & Beichner, R. J. (2003). Comparison of student performance using web and paper-based homework in college-level physics. Journal of Research in Science Teaching, 40(10), 1050-1071.

Bonifaz, A., & Zucker, A. A. (2004). Lessons learned about providing laptops for all students. Newton, MA: Education Development Center. Available online at: http://www.neirtec.org/laptop.

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Chi, M.T.H., Siler, S., Jeong, H., Yamauchi, T., Hausmann, R. (2001). Learning from Human Tutoring, Cognitive Science, 25:471-533.

Dynarski, Mark, Roberto Agodini, Sheila Heaviside, Timothy Novak, Nancy Carey, Larissa Campuzano, Barbara Means, Robert Murphy, William Penuel, Hal Javitz, Deborah Emery, and Willow Sussex. Effectiveness of Reading and Mathematics Software Products: Findings from the First Student Cohort, Washington, D.C.: U.S. Department of Education, Institute of Education Sciences, 2007.

Feng, M., Heffernan, N.T., & Koedinger, K.R. (2006). Addressing the Testing Challenge with a Web-Based E-Assessment System that Tutors as it Assesses. Proceedings of the Fifteenth International World Wide Web Conference. pp. 307-316. New York, NY: ACM Press. 2006.

Graesser, A. C., Person, N. K. & Magliano, J. P. (1995) Collaborative dialogue patterns in Naturalistic One-to-One Tutoring. Applied Cognitive Psychology 9, 495-522.

Graesser, A.C., Person, N., Harter, D., & TRG (2001). Teaching tactics and dialog in

AutoTutor. International Journal of Artificial Intelligence in Education.

Heffernan, N. T. & Croteau, E. (2004). Web-Based Evaluations Showing Differential Learning for Tutorial Strategies Employed by the Ms. Lindquist Tutor. In James C. Lester, Rosa Maria Vicari, Fábio Paraguaçu (Eds.) Proceedings of 7th Annual Intelligent Tutoring Systems Conference, Maceio, Brazil. Springer Lecture Notes in Computer Science.  pp. 491-500.

Heffernan N.T., Turner T.E., Lourenco A.L.N., Macasek M.A., Nuzzo-Jones G., Koedinger K.R., The ASSISTment Builder: Towards an Analysis of Cost Effectiveness of ITS creation, Accepted by FLAIRS2006, Florida, USA (2006).

Hu, W. Seeing No Progress, Some Schools Drop Laptops. New York Times. May 4, 2007.

Mendicino, M., Heffernan, N.T. & Razzaq, L. (in progress). Comparing the learning from intelligent tutoring systems, non-intelligent computer- based versions, and traditional classroom instruction.

Parr, J. M. (2000): A review of the literature on computer-assisted learning, particularly integrated learning systems, and outcomes with respect to literacy and numeracy. Auckland, New Zealand: Ministry of Education. http://www.minedu.govt.nz/index.cfm?layout=document&documentid=5499.

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Pascarella, A. M. (2002). CAPA (Computer-Assisted Personalized Assignments) in a Large University Setting. Unpublished Doctoral Dissertation, University of Colorado, Boulder, CO.

Razzaq, L., Heffernan, N.T. (in press). Scaffolding vs. hints in the ASSISTmentSystem. In Ikeda, Ashley & Chan (Eds.). Proceedings of the Eight International

Conference on Intelligent Tutoring Systems. Springer-Verlag: Berlin. pp. 635-644.2006.

Razzaq, L., Heffernan, N. T., Lindeman, R. W. (2007). What level of tutor feedback is best? In Luckin & Koedinger (Eds.) Proceedings of the 13th Conference on Artificial Intelligence in Education. IOS Press. 

Rosé, C. P., Bhembe, D., Siler, S., Srivastava, R., & VanLehn, K. (2003). Exploring the Effectiveness of Knowledge Construction Dialogues. In H. U. Hoppe, F. Verdejo and J. Kay (Eds.). Artificial Intelligence in Education. Amsterdam: IOS Press.

Silvernail, D. L., & Lane, D. M. M. (2004). The impact of Maine’s one-to-one laptop program on middle school teachers and students (Report #1). Gorham, ME: Maine Education Policy Research Institute, University of Southern Maine Office.

VanLehn, K., Graesser, A. C., Jackson, G. T., Jordan, P., Olney, A., & Rose, C. P.When is reading just as effective as one-on-one interactive human tutoring? InProceedings of the 27th Annual Meeting of the Cognitive Science Society (pp.2259-2264). Mahwah, NJ: Erlbaum. (2005) 2259-2264

VanLehn, K., Siler, S., Murray, C, Yamauchi, T. & Baggett, W. B. (2003). Why do only some events cause learning during human tutoring? Cognition and Instruction, 21(3) 209-249.

VanLehn, K., Lynch, C., Schulze, K., Shapiro, J. A., Shelby, R. H., Taylor, L., Treacy, D. J., Weinstein, A., & Wintersgill, M. C. (2005) The Andes physics tutoring system: Five years of evaluations. In G. McCalla, C. K. Looi, B. Bredeweg & J. Breuker (Eds.), Artificial Intelligence in Education.  (pp. 678-685) Amsterdam, Netherlands: IOS Press.

VanLehn, K., Lynch, C., Schulze, K. Shapiro, J. A., Shelby, R., Taylor, L., Treacy, D., Weinstein, A., & Wintersgill, M. (2005). The Andes physics tutoring system: Lessons Learned. In International Journal of Artificial Intelligence and Education (pp.1-47), 15 (3).

Vascellaro, J. E.,Saying no to school laptops. The Wall Street Journal. August 31, 2006.

Warnakulasooriya, R. & Pritchard, D. E. (2005)Learning and problem-solving transfer

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between physics problems using web-based homework tutor. Conference Proceedings: EdMedia -World Conference on Educational Multimedia, Hypermedia & Telecommunications Vol. 2005, 2005, pp. 2976-2983

Table 1: Overall Experimental Design

Computer first group

Day Teacher A Teacher BMonday Pretest Number Sense

Intro to ComputerComputer Assignment

Randomly assigned

By computerscaffolds hints

Pretest MixIntro. to Computer

Computer AssignmentRandomly assigned

By computerscaffolds hints

Tuesday Posttest Number Sense Posttest MixWednesday Pretest Mix

Paper-and-pencil Assignment

Pretest Number SensePaper-and-pencil

assignment

Thursday Posttest Mix Posttest Number Sense

Paper-and-Pencil First Group

Day Teacher C Teacher D

Monday Pretest MixPaper-and-pencil

Assignment

Pretest Number SensePaper-and-pencil

assignment

Tuesday Posttest Mix Posttest Number SenseWednesday Pretest Number Sense

Intro to ComputerComputer Assignment

Pretest MixIntro. to Computer

Computer Assignment

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Randomly assigned

By computerscaffolds hints

Randomly assigned

By computerscaffolds hints

Thursday Posttest Number Sense Posttest Mix

Table 2: Group and Individual Class Completion Rates

Class A Class B Class C Class D AllClasses

ExcludeClass D

% with Internet

17/2470.8%

12/2352%

10/2245%

15/2462.5%

54/9358%

39/6956.5%

% with internet that completed

CHW

13/1776%

6/1250%

7/1070%

3/1520%

29/5453.7%

26/3967%

% with internet that completed

PPH

15/1788%

9/1275%

7/1070%

12/1580%

43/5479.6%

31/3979%

% with internet that completed

Both

12/1770%

6/1250%

7/1070%

3/1520%

28/5452%

25/3964%

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Figure 1:

Figure 2: Results CHW & PPH for students who completed CHW

Figure 3: Results for ALL students who had internet.

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Figure 4: Computer Gain by Condition.

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Appendix A: Mix Pre-Test & Number Sense Pre-Test

Name_______________________ Teacher_____________________1.

Turf CoveragePounds Square Yards of Coverage

6 20010 30014 40018 500

The table above shows the number of pounds of turf needed to cover a given area.

Based on the pattern in the table, how many pounds of turf are needed to cover 800 square yards?2.

2X + 2 = 14What value of X makes the equation shown above true?

o A. X = 6o B X = 8o C. X = 10o D. X = 12

3. The radius of a circle is 18 inches. What is the diameter of the circle?

4. Mrs. Chipps wrote five numbers on the white board in her room.

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After class, one of the numbers was erased. The four numbers left are shown below.

20 32 44 12 __?__

If the median of the five numbers that Mrs. Chipps wrote on the board was 20, which of the following could be true?

o A. The number that was erased was greater than 44o B. The mode of the five numbers Mrs. Chipps wrote on the board was 31o C. The number that was erased was less than or equal to 20o D. The mean of the five numbers Mrs. Chipps wrote on the board was 56

5. Mr. Lamb drew an equilateral triangle.Which of the following statements is true about the triangle?

o A. At least two angles are obtuseo B. At least one angle measures 90 degreeso C. All of the angles are less than 90 degreeso D. All of the angles have different measurements

6

What is the area of the triangle shown above?o A. 220 cm2

o B. 156 cm2

o C. 125 cm2

o D. 225 cm2

7. Input 1 2 3 4 5 6 7Output 6 10 14 18 22 26 30

Shelby created the input-output table shown above.Which of the following rules is true for all values of Shelby’s input-output table?

o A. Input + 5 = outputo B. Input times 5 = outputo C. (Input times 4) + 2o D. (Input times 4) + 3

8. Joe is 22 years older than Bob. If Joe is 43 years old now, how old is Bob?o A. 12 years oldo B. 18 years oldo C. 65 years oldo D. 21 years old

9.

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On the coordinate grid above, Which point is located at (7,5)?o A.o B.o C.o D.

10.

What are the coordinates of point C?

Number Sense Pre Test

Name__________________________ Teacher_________________

1. Which of the following is closest to the product of 397.8 * 10.3?o A. 3,000o B. 30,000o C. 400o D 4,000

2. Which of the following shows the numbers in order from least to greatest?o A. 0.452, 0.51, 0.432o B. 0.452, 0.432, 0.51o C. 0.432, 0.51, 0.452o D. 0.432, 0.452, 0.51

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3. __________________________________________________ -4 -3 -2 -1 0 1 2 3 4

Jeffrey is plotting points on the number line above.Between which two numbers should Jeffery plot -3 ½?

4. What is 15/60 as a percent?

5. Write 10/25 as a decimal.

6. What is the value of the following expression?7 * 6 + 3

7. Destinee has a total of 12 fish in her aquarium. Exactly 9 of the fish are gold fish. What percent of the fish in the aquarium are gold fish?

o A. 70%o B. 55%o C. 75%o D. 25%

8. David made the circle shown below using gray and white triangles.What fractional part of the whole design is made up of gray triangles?Write your answer as a fraction.

9.Kendra is going on vacation. She packed the following clothes in her suitcase. How many different outfit combinations will Kendra have to choose from during vacation?

Suitcase for vacationTops Pants

T-ShirtSweatshirt

Khaki pantsSweat pantsJeans

10. What is the distance between point C and point D on the number shown below?

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C D________________________________________________________

40 80 120 16 0

Appendix B: Homework/Mix Problems

Mr.  Name:__________________ Teacher:__________________ Date:______________

1)

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The table above shows the number of pounds of fertilizer needed to cover a given area. Based on the pattern in the table, how many pounds of fertilizer are needed to cover 600 square yards?

2.)  

What value of x makes the equation shown above true?

A. x = 4

B. x = 6

C. x = 8

D. x = 12

3.)   The radius of a circle is 14 inches. What is the diameter of the circle?

4.)Mr. Young wrote five numbers on the board in his classroom. After class, one of the numbers was erased. Four of the five numbers are shown below.

18 25 30 17 _?__ If the median of the five numbers that Mr. Young wrote on the board was 18, which of the following could be true?

A. The number that was erased was greater than 30.

B. The mode of the five numbers Mr. Young wrote on the board was 24.

C. The mean of the five numbers Mr. Young wrote on the board was 22.6.

D. The number that was erased was less than or equal to 18. 5.)  Mr. Donato drew an equilateral triangle. Which of the following statements is true about the triangle?

A. At least one angle is obtuse.

B. All of the angles are acute.

C. At least one angle measures 90 degrees.

D. All of the angles have different measurements.

6.)  

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What is the area of the triangle shown above?

A. 126 cm2

B. 210 cm2

C. 252 cm2

D. 420 cm2

7.)  

Bridget created the input-output table shown above.Which of the following rules is true for all values in Bridget's input-output table?

A. Input + 3 = Output

B. Input * 3 = Output

C. (Input * 2) + 1 = Output

D. (Input * 2) + 2 = Output

8.)   Sam is 37 years older than Dennis. If Sam is 55 years old now, how old is Dennis?

A. 12 years old

B. 18 years old

C. 28 years old

D. 92 years old

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9.)

On the coordinate grid above, which point is plotted at (4, 3)?

A.

B.

C.

D.

E.

F. 10.)

What are the coordinates of Point A?

(6, 10)

(5, 9)

(9, 6)

(6, 9)

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Homework/Number Sense Problems Mr.   Name:_________________ Teacher: __________________ Date:___________

1.)   Which of the following is closest to the product 298.7 * 10.1?

A. 300

B. 2,000

C. 3,000

D. 20,000 2.)   Which of the following shows the numbers in order from least to greatest?

A. 0.765, 0.82, 0.791

B. 0.765, 0.791, 0.82

C. 0.791, 0.82, 0.765

D. 0.791, 0.765, 0.82 3.)  

Marta is plotting points on the number line above.Between which two numbers should Marta plot -21/2?

A. 1 and 2

B. 2 and 3

C. -2 and -1

D. -3 and -2

4.)   Write 12/30 as a percent.

5.)   Write 15/25 as a decimal.

6.) What is the value of the following expression?

3 + 6 * 47.)   Judith has a total of 8 fish in her aquarium. Exactly 6 of the fish are guppies. What percent of the fish in the aquarium are guppies?

A. 48%

B. 60%

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C. 68%

D. 75%

8.)  

Shing made the design shown above using gray square tiles and white square tiles.What fractional part of the whole design is made up of gray tiles? Write your answer as a fraction.

9.)  

Rae is making a salad. The choices for the ingredients are shown in the chart above.What is the total number of different salads she can make using one lettuce, one vegetable, and one dressing?

10.)  

What is the distance between point A and point B on the number line shown above?

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Appendix C: Sample Computer Problems

2.)   "2005_6_gr6"   (Problem ID: 12341) [MA - 2005 - SPRING - 6]

What value of x makes the equation shown above true?

A. x = 4

B. x = 6

C. x = 8

D. x = 12

3.)   "2005_12_gr6"   (Problem ID: 12361) [MA - 2005 - SPRING - 12] The radius of a circle is 14 inches. What is the diameter of the circle?

4.)   "2005_15_gr6"   (Problem ID: 12366) Mr. Young wrote five numbers on the board in his classroom. After class, one of the numbers was erased. Four of the five numbers are shown below.

18 25 30 17 _?__If the median of the five numbers that Mr. Young wrote on the board was 18, which of the following could be true?

A. The number that was erased was greater than 30.

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B. The mode of the five numbers Mr. Young wrote on the board was 24.

C. The mean of the five numbers Mr. Young wrote on the board was 22.6.

D. The number that was erased was less than or equal to 18.

Appendix D: Sample Hints3.)  

Marta is plotting points on the number line above.Between which two numbers should Marta plot -21/2? Answers:

A. 1 and 2 B. 2 and 3 C. -2 and -1

D. -3 and -2

-21/2 should be 21/2 units away from zero. What side of zero should -21/2 be on? Answers:

the left side the right side Hint 1: The numbers to the right of zero on the number line are positive and are greater than zero. The numbers to the left of zero on the number line are negative and are less than zero. Hint 2: Marta should plot -21/2 on the left side of zero because it's negative. Between which two numbers should Marta plot -21/2? Answers: (Interface Type: RADIO_BUTTON)

A. 1 and 2 B. 2 and 3 C. -2 and -1

D. -3 and -2 Hint 1: Marta should plot -21/2 on the left side of zero, between two negative numbers. Hint 2: -21/2 should be 21/2 units away from zero. Is that to the left of -2 or to the right of -2? Hint 3: -21/2 should be plotted between -3 and -2. Choose D.

4.) Write 12/30 as a percent. Answers:

40% 40

First, it will help to reduce the fraction to tenths. What is 12/30 reduced? Answers:

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3/10 4/10

4/5 6/12 Hint 1: What is a common factor between 12 and 30, that will give you 10 in the denominator? Hint 2: The common factor is 3. Divide 12 and 30 by 3. Hint 3: 12/30 = 4/10 Hint 4: Choose 4/10 Good. What is 4/10 in percent? Answers:

0.4% 0.04% 4%

40% Hint 1: There are several ways to change a fraction to a percent. One way is to divide the numerator by the denominator and move the decimal point 2 places to the right. Hint 2: What is 4 divided by 10? Hint 3:

4/10 = 0.4. Now move the decimal point 2 places to the right. Hint 4: 0.4 = 40%. Choose 40%

5. Write 15/25 as a decimal. Answers: (Interface Type: ALGEBRA_FIELD)

0.6 First, it will help to reduce the fraction. What is 15/25 reduced? Answers:

3/5 Hint 1: What is the greatest common factor between 15 and 25? Hint 2: The greatest common factor is 5. Divide 15 and 25 by 5. Hint 3: 15/25 = 3/5 Hint 4: Type in 3/5 Good. What is 3/5 in decimal? Answers:

0.6 Hint 1: One way to change a fraction to a decimal is to divide the numerator by the denominator, but it is easier to convert this fraction to tenths first. Hint 2: 3/5 * 2/2 = 6/10. To divide by 10, move the decimal point one place to the left. (Since there is no decimal point, think of 6 as 6.0 and move the decimal point one place to the left.)

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Hint 3: 6/10 = 0.6 or 0.60 Hint 4: Type in 0.6