The Miracle of Money! Managing LRC Budgets, Funds and Fund Raising

M Bruce McLaren

TechTrends: Linking Research and Practice to Improve Learning Vol. 39, No. 3 (1994) pp. 12–16

Describes the management of a learning resource center (LRC) budget. Topics discussed include controlling a budget, keeping records, managing grants, managing petty cash, responding to unexpected expenses, managing capital outlay dollars, managing...

Distance Learning: Expanding Educational Opportunities [and] Comments on McLaren

M Bruce McLaren

Journal of Rehabilitation Administration Vol. 19, No. 4 (1995) pp. 261–70

The growing accessibility of distance learning has potential to enhance and improve the capabilities of people with disabilities and help them meet lifelong learning goals. (Includes comments by House and McLaren.) (SK)

Management of Media Resources for Special Education

M Bruce McLaren

T.H.E. Journal Vol. 6, No. 5 (September 1979) pp. 45–47

Methods for improving instructional effectiveness for special education by using media are described and discussed. (MK)

Supporting Collaborative Learning and E-Discussions Using Artificial Intelligence Techniques

Bruce M. McLaren; Oliver Scheuer; Jan Miksatko

International Journal of Artificial Intelligence in Education Vol. 20, No. 1 (2010) pp. 1–46

An emerging trend in classrooms is the use of networked visual argumentation tools that allow students to discuss, debate, and argue with one another in a synchronous fashion about topics presented by a teacher. These tools are aimed at teaching...

Delayed Learning Effects with Erroneous Examples: A Study of Learning Decimals with a Web-Based Tutor

Bruce M. McLaren; Deanne M. Adams; Richard E. Mayer

International Journal of Artificial Intelligence in Education Vol. 25, No. 4 (2015) pp. 520–542

Erroneous examples--step-by-step problem solutions with one or more errors for students to find and fix--hold great potential to help students learn. In this study, which is a replication of a prior study (Adams et al. 2014), but with a much larger...

A New Paradigm for Intelligent Tutoring Systems: Example-Tracing Tutors

Vincent Aleven; Bruce M. McLaren; Jonathan Sewall; Kenneth R. Koedinger

International Journal of Artificial Intelligence in Education Vol. 19, No. 2 (2009) pp. 105–154

The Cognitive Tutor Authoring Tools (CTAT) support creation of a novel type of tutors called example-tracing tutors. Unlike other types of ITSs (e.g., model-tracing tutors, constraint-based tutors), example-tracing tutors evaluate student behavior...

Computer-Supported Argumentation: A Review of the State of the Art

Oliver Scheuer; Frank Loll; Niels Pinkwart; Bruce M. McLaren

International Journal of Computer-Supported Collaborative Learning Vol. 5, No. 1 (March 2010) pp. 43–102

Argumentation is an important skill to learn. It is valuable not only in many professional contexts, such as the law, science, politics, and business, but also in everyday life. However, not many people are good arguers. In response to this,...

Help Helps, but Only so Much: Research on Help Seeking with Intelligent Tutoring Systems

Vincent Aleven; Ido Roll; Bruce M. McLaren; Kenneth R. Koedinger

International Journal of Artificial Intelligence in Education Vol. 26, No. 1 (2016) pp. 205–223

Help seeking is an important process in self-regulated learning (SRL). It may influence learning with intelligent tutoring systems (ITSs), because many ITSs provide help, often at the student's request. The Help Tutor was a tutor agent that gave in...

Polite web-based intelligent tutors: Can they improve learning in classrooms?

Bruce M. McLaren; Krista E. DeLeeuw; Richard E. Mayer

Computers & Education Vol. 56, No. 3 (April 2011) pp. 574–584

Should an intelligent software tutor be polite, in an effort to motivate and cajole students to learn, or should it use more direct language? If it should be polite, under what conditions? In a series of studies in different contexts (e.g., lab...

Language: English

Improving students’ help-seeking skills using metacognitive feedback in an intelligent tutoring system

Ido Roll; Vincent Aleven; Bruce M. McLaren; Kenneth R. Koedinger

Learning and Instruction Vol. 21, No. 2 (April 2011) pp. 267–280

The present research investigated whether immediate metacognitive feedback on students’ help-seeking errors can help students acquire better help-seeking skills. The Help Tutor, an intelligent tutor agent for help seeking, was integrated into a...

Language: English

Automated, Unobtrusive, Action-by-Action Assessment of Self-Regulation during Learning with an Intelligent Tutoring System

Vincent Aleven; Ido Roll; Bruce M. McLaren; Kenneth R. Koedinger

Educational Psychologist Vol. 45, No. 4 (2010) pp. 224–233

Assessment of students' self-regulated learning (SRL) requires a method for evaluating whether observed actions are appropriate acts of self-regulation in theEv specific learning context in which they occur. We review research that has resulted in...

Promoting Critical, Elaborative Discussions through a Collaboration Script and Argument Diagrams

Oliver Scheuer; Bruce M. McLaren; Armin Weinberger; Sabine Niebuhr

Instructional Science: An International Journal of the Learning Sciences Vol. 42, No. 2 (March 2014) pp. 127–157

During the past two decades a variety of approaches to support argumentation learning in computer-based learning environments have been investigated. We present an approach that combines argumentation diagramming and collaboration scripts, two...

Accounting for Beneficial Effects of Worked Examples in Tutored Problem Solving

Ron J. C. M. Salden; Kenneth R. Koedinger; Alexander Renkl; Vincent Aleven; Bruce M. McLaren

Educational Psychology Review Vol. 22, No. 4 (December 2010) pp. 379–392

Recent studies have tested the addition of worked examples to tutored problem solving, a more effective instructional approach than the untutored problem solving used in prior worked example research. These studies involved Cognitive Tutors,...

Exploring creative thinking in graphically mediated synchronous dialogues

Rupert Wegerif; Bruce M. McLaren; Marian Chamrada; Oliver Scheuer; Nasser Mansour; Jan Mikšátko; Mriga Williams

Computers & Education Vol. 54, No. 3 (April 2010) pp. 613–621

This paper reports on an aspect of the EC funded Argunaut project which researched and developed awareness tools for moderators of online dialogues. In this study we report on an investigation into the nature of creative thinking in online dialogues ...

Language: English

Example-Tracing Tutors: Intelligent Tutor Development for Non-Programmers

Vincent Aleven; Bruce M. McLaren; Jonathan Sewall; Martin van Velsen; Octav Popescu; Sandra Demi; Michael Ringenberg; Kenneth R. Koedinger

International Journal of Artificial Intelligence in Education Vol. 26, No. 1 (2016) pp. 224–269

In 2009, we reported on a new Intelligent Tutoring Systems (ITS) technology, example-tracing tutors, that can be built without programming using the Cognitive Tutor Authoring Tools (CTAT). Creating example-tracing tutors was shown to be 4-8 times as ...

Development of a Workbench to Address the Educational Data Mining Bottleneck

Ma Mercedes T. Rodrigo; Ryan S. J. d. Baker; Bruce M. McLaren; Alejandra Jayme; Thomas T. Dy

International Conference on Educational Data Mining (EDM) 2012 (June 2012)

In recent years, machine-learning software packages have made it easier for educational data mining researchers to create real-time detectors of cognitive skill as well as of metacognitive and motivational behavior that can be used to improve...

More confusion and frustration, better learning: The impact of erroneous examples

J. Elizabeth Richey; Juan Miguel L. Andres-Bray; Michael Mogessie; Richard Scruggs; Juliana M.A.L. Andres; Jon R. Star; Ryan S. Baker; Bruce M. McLaren

Computers & Education Vol. 139, No. 1 (October 2019) pp. 173–190

Prior research suggests students can sometimes learn more effectively by explaining and correcting example problems that have been solved incorrectly, compared to problem-solving practice or studying correct solutions. It remains unclear, however,...

Language: English