Managing programmed instruction and collaborative peer tutoring in the classroom: Applications in teaching Java™

To fulfill part of the course requirements, 34 undergraduate students in two courses completed an online programmed instruction tutor as the first technical training exercise in a Java™ programming course designed for information systems majors. The tutor taught a simple JApplet program to display a text string within a browser window on the Web. Students in the first course next participated in a collaborative peer tutoring session, based on the JApplet program, followed by a lecture on the program and by successfully running the program on the Web. For the second course, the peer tutoring session was scheduled after the lecture and after successfully running the program. Students in both courses completed tests of far transfer (“meaningful learning”) and software self-efficacy before using the tutor and on several subsequent occasions following that initial learning. Students in the second course also completed a 4-item scale to assess the development of classification and functionality knowledge regarding elements of the program. Students in both courses showed progressive improvement in all performance measures across the several assessment occasions. Students’ positive ratings of the effectiveness of both the tutor and the collaborative peer tutoring supported the value of these learning experiences in a technical knowledge domain. The results of this study, based on student performance observed within the context of the classroom, show the importance of providing a range of synergistic learning experiences that culminate in a level of skill and confidence that prepares and motivates all students for advanced instruction in Java. They also show how to manage the instructional techniques in the classroom to accomplish that educational outcome.     

Design and development of a technology enhanced hybrid instruction based on MOLTA model: Its effectiveness in comparison to traditional instruction

Using the model for learning and teaching activities (MOLTA), a new technology enhanced hybrid instruction was designed, developed and implemented. The effectiveness of the hybrid instruction in regard to students’ achievement, knowledge retention, attitudes towards the subject, and course satisfaction was evaluated in comparison to traditional classroom instruction. Experimental study with pre-test, post-test control group design was carried out. The sample of the study consisted of 50 university students enrolled in “Computer Networks and Communication” course. The control and experimental groups composed of 24 and 26 students respectively, and the experiment lasted 14 weeks. The findings of the study indicated no significant difference between the hybrid course and the traditional course in students’ achievement, knowledge retention, satisfaction, and attitude.     

“Hits” (not “Discussion Posts”) predict student success in online courses: A double cross-validation study

The efficacy of individual components of an online course on positive course outcome was examined via stepwise multiple regression analysis. Outcome was measured as the student’s total score on all exams given during the course. The predictors were page hits, discussion posts, and discussion reads. The vast majority of the variance of outcome was accounted for by total page hits. Participation in discussion had little to no effect on performance as measured by outcome on exams. The results were double cross-validated with a sample chosen from another class. There was no shrinkage, indicating that the equations derived from the two samples were very reliable.     

Benefits of adding anxiety-reducing features to a computer-based multimedia lesson on statistics

The present study examined the effectiveness of techniques intended to reduce anxiety as students learn mathematical content from a computer-based lesson. In a between-subjects experiment, students learned statistical rules through worked examples in a computer-based learning environment that either did (treatment group) or did not (control group) include anxiety reducing features—a coping message delivered through the lesson by an online pedagogical agent concerning how to manage feelings of anxiety, and prompts for expressive writing, in which students summarize their thoughts and feelings. An independent samples t-test showed that the treatment group, which received added anxiety-reducing features, showed higher accuracy than the control group on solving practice problems (d = 0.71) and retention problems (d = 0.63) and reported higher perceived effort on learning the multimedia lesson (d = 0.66). In addition, a standard multiple linear regression found that anxiety, self-efficacy, and cognitive load as a set predicted performance (R² = 0.56), with self-efficacy as the strongest predictor (β = 0.63). Adding anxiety-reducing features to an online lesson may encourage greater effort, which leads to better learning outcomes.     

Electronic Instruction at Carlson Library

Abstract

In this age of increasing electronic instruction in academic libraries, the University of Toledo's Carlson Library, like many other academic libraries, is trying to come of age. The library's instruction program has traditionally used a paper-based instructional format. However, with the introduction of the library's OPAC, CD-ROMs, the Internet, and OhioLINK in recent years, we are faced with a number of challenges which this paper will discuss. The main challenge is that we are trying to teach electronic resources without a mediated classroom in the library. We need to bridge the gap between the paper-based instruction program and electronic resources because our current teaching methods do not always allow for patron interaction with the technology. Increasingly, instruction is having to take place at the Information Desk, where there are time constraints and library users are unclear about the kinds of information they want or which electronic resources they need. Adapting to these new and growing resources and developing the skills needed to teach them are among the important challenges librarians at Carlson Library face.     

互助学习环境下可抗恶意评价的同伴互评算法

受学习者能力和意愿等主观因素的影响,互助学习环境下同伴互评结果与真实评价通常存在显著差距。为了提高同伴互评的质量,避免互评过程中利益驱动的恶意评价,引入少量由教师预评分的作业作为哨兵。通过评审人对哨兵的评审情况,以评审人的信誉评价作为权重向量,并利用阈值进行截尾,从而实现了对恶意评价的有效隔离。真实测评数据上的实验结果证明,相较于当前主流的互评算法,该算法能有效过滤恶意高评或低评,并且能适应较大数量级的学习者进行互评。在未来的研究中,将针对信誉模型的优化进行深入的研究。     

Web Pages and Chalk

ABSTRACT

This is an introduction to a new column, “Web Pages and Chalk: The Web and Learning.”     

Building a Basic Block Instruction Scheduler with Reinforcement Learning and Rollouts

The execution order of a block of computer instructions on a pipelined machine can make a difference in running time by a factor of two or more. Compilers use heuristic schedulers appropriate to each specific architecture implementation to achieve the best possible program speed. However, these heuristic schedulers are time-consuming and expensive to build. We present empirical results using both rollouts and reinforcement learning to construct heuristics for scheduling basic blocks. In simulation, the rollout scheduler outperformed a commercial scheduler on all benchmarks tested, and the reinforcement learning scheduler outperformed the commercial scheduler on several benchmarks and performed well on the others. The combined reinforcement learning and rollout approach was also very successful. We present results of running the schedules on Compaq Alpha machines and show that the results from the simulator correspond well to the actual run-time results.     

The impact of intrinsic motivation on e-learning in authentic computer tasks

Abstract Students with high intrinsic motivation often outperform students with low intrinsic motivation. However, little is known about the processes that lead to these differences. In education based on simulations or authentic electronic learning environments, this lack of insight is even more clear. The present study investigated what students actually did in an electronic learning environment that was designed as a game‐like realistic simulation in which students had to play the role of a junior consultant. The results show that students with high intrinsic motivation did not do more, rather they tended to do different things. Analysis of log files showed that the increased curiosity that students with high intrinsic motivation have, resulted in proportionally more explorative study behaviour. However, the learning outcomes of students with high intrinsic motivation were not better.     

Team Diversity,Learning, and Innovation: A Mediation Model

This study aims to examine the direct and mediating relationships between team diversity, individual and team learning, and individual and team innovation performance. Using a sample of 266 white-collar professionals in Hong Kong, we found that team diversity plays a substantial role in improving both individual and team learning. Individual learning and team learning are independent and positively related to individual and team innovation performance. Individual learning partially mediates the relationship between team diversity and team learning. Individual innovation performance is found to be a partial mediator of team learning and team innovation performance. This study contributes in understanding the unexplored mediating effects of individual learning on team learning, and the individual innovation performance on team innovation performance. Team diversity is found to be the main enabler in the overall model. It is hoped that the research paradigm of this article will generate further development of information systems and technology literature.     

基于专业体系的网络教学资源模型SLRM

教学资源建设是教育信息化的基础.为描述网络教学资源的通用框架和层次结构并实现自然语义查询,在借鉴SCORM模型的基础上,提出了基于专业体系的网络教学资源模型SLRM.该模型对实现网络教学资源的数据共事、提高网络教学资源检索的效率、方便用户的使用等方面都有一定的促进作用.     

Learning styles' recognition in e-learning environments with feed-forward neural networks

Abstract People have unique ways of learning, which may greatly affect the learning process and, therefore, its outcome. In order to be effective, e-learning systems should be capable of adapting the content of courses to the individual characteristics of students. In this regard, some educational systems have proposed the use of questionnaires for determining a student learning style; and then adapting their behaviour according to the students' styles. However, the use of questionnaires is shown to be not only a time-consuming investment but also an unreliable method for acquiring learning style characterisations. In this paper, we present an approach to recognize automatically the learning styles of individual students according to the actions that he or she has performed in an e-learning environment. This recognition technique is based upon feed-forward neural networks.     

Revisiting Individual Evolutionary Learning in the Cobweb Model – An Illustration of the Virtual Spite-Effect

We examine the Cournot oligopoly model in the context of social and individual learning. In both models of learning, firms update their decisions about how much to produce via variants of the genetic algorithm updating procedure. Arifovic (1994) found that both models of social and individual learning converged to the Walrasian, competitive equilibrium. Vriend (2000) reports that the model of social learning converges to the Walrasian equilibrium outcome, while the model of individual learning converges to the Cournot–Nash equilibrium. We revisit the issue and conduct simulations varying elements of the updating algorithms, as well as of the underlying economic model. In the analysis of the outcomes of our simulations, we conclude that the convergence to the Cournot–Nash equilibrium is due to two things: the specific way in which production rules’ performance is evaluated coupled with a specific cost function specification.      

Self-directed learning readiness, Internet self-efficacy and preferences towards constructivist Internet-based learning environments among higher-aged adults

This article examines several research questions to establish a theory model for explaining factors that influence adult learners' preferences for constructivist Internet-based learning environments (CILE). Data were gathered from 541 individual participants enrolled in adult education institutes in Taiwan for structural equation modelling (SEM) analyses. The research results established a 10-scale instrument for assessing adult learners' preferences for CILE. Among the scales of CILE, adult students placed the highest value on relevance to life and reflective thinking, and scored the lowest for critical judgement, ease of use and student negotiation. The SEM analyses revealed that compared to Internet self-efficacy (ISE), self-directed learning readiness plays a major role in predicting adults' preferences for their learning environment, especially for the higher level of intellectual challenge. ISE plays a mediating role in the relationships between Internet usage and the participants' preferences. This result suggests that more time spent on Internet practice may increase adult learners' ISE, which may strengthen their preferences for Internet-based learning environments.