This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…

This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…

This dissertation describes an experiment to investigate how learners with different levels of background in computer science learn core concepts of computer science, in particular, algorithms. We designed a study to focus on cognitive task analysis for eliciting the empirical mental elements of learning two graph algorithms. Cognitive workload…

The use of technology as a facilitator in learning environments has become increasingly prevalent with the global pandemic caused by COVID-19. As such, computer-supported collaborative learning (CSCL) gains a wider adoption in contrast to traditional learning methods. At the same time, the need for automated tools capable of assessing and…

Three studies were conducted to explore machine learning support of novel learning problems. The first was a study of a computer-supported online learning website, which was designed to support teachers improving their pedagogy and this work created a data-first approach for Linguistic pedagogy, and to support improved pedagogy delivery and…

The design and development of a program of computer-assisted instruction (CAI) which assists the student in learning elementary algorithms of an undergraduate numerical methods course is presented, along with special programing features such as partial precision arithmetic, computer-generated problems, and approximate matching of mathematical…

Presents a model for schools based on the transmission of algorithms (a set of problem-solving procedures) through computers. Sample lesson series are provided, as well as a description of special teacher qualifications required and the benefits of such a program. (Author/WD)

This report describes the initial evaluation of a text compression algorithm against computer assisted instruction (CAI) material. A review of some concepts related to statistical text compression is followed by a detailed description of a practical text compression algorithm. A simulation of the algorithm was programed and used to obtain…

Discusses the role of algorithms in the design of computer-assisted instruction (CAI). Structural and processing characteristics of algorithms are analyzed, instructional algorithms are explained, empirically based design rules are presented, and the use of instructional algorithms in artificial intelligence is described. (44 references) (LRW)

This paper discusses computer simulation as a tool for teaching about phenomena characterized by a problem to be solved, a task or goal to be reached, a procedure to be learned, or an environment to be understood. Simulation is defined and characterized by an examination of both the attributes that are common to simulations, and a taxonomy…

Human words must be rapidly recognized by a computer system designed to maintain an interactive dialogue with humans. This paper discusses features of the PLATO IV-TUTOR system which facilitates the matching of words and concepts offered by students to those proposed by lesson authors. The first section examines a word recognition algorithm that…

Criteria were developed for deciding the fraction of course attendance time that students should spend on a computer-assisted instruction (CAI) course in order to maximize the average final achievement of the class, subject to constraints on the probability of individual student failure and on the available console capacity. The major elements of…

The benefits of utilizing text compression for CAI are evaluated, and an analysis of core storage, decoding, and CPU time are presented for the PDP-10 system. (RAO)

Reviews current applications and future plans for instructional technology in Hungary, focussing on programed learning--the area which has gotten the greatest attention in that country to date. (LS)