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Wakelam, Edward; Jefferies, Amanda; Davey, Neil; Sun, Yi – British Journal of Educational Technology, 2020
The measurement of student performance during their progress through university study provides academic leadership with critical information on each student's likelihood of success. Academics have traditionally used their interactions with individual students through class activities and interim assessments to identify those "at risk" of…
Descriptors: Academic Achievement, At Risk Students, Data Analysis, Identification
Agarwal, Chesta; Chakraborty, Pinaki – Education and Information Technologies, 2019
Widespread use of English in the academia and in business is leading an increasing number of people to learn it as a second or a foreign language. Computer aided pronunciation training (CAPT) systems are used by non-native English speakers for improving their English pronunciation. A typical CAPT tool records the speech of a learner, detects and…
Descriptors: Educational Technology, Technology Uses in Education, English for Academic Purposes, English for Special Purposes
Asai, Kikuo; Takase, Norio – International Journal of Virtual and Personal Learning Environments, 2011
This article presents the characteristics of using a tangible table top environment produced by augmented reality (AR), aimed at improving the environment in which learners observe three-dimensional molecular structures. The authors perform two evaluation experiments. A performance test for a user interface demonstrates that learners with a…
Descriptors: Molecular Structure, Computer Simulation, Usability, Science Instruction
Fagan, Mary; Kilmon, Carol; Pandey, Vivek – Campus-Wide Information Systems, 2012
Purpose: This study aims to explore students' perceptions of a virtual reality simulation that enable nursing students to learn how to use a medical emergency crash cart. Design/methodology/approach: The study was designed to explore how students' perceptions of ease of use and perceived usefulness from the technology acceptance model and the…
Descriptors: Nursing Students, Student Attitudes, Structural Equation Models, Computer Simulation
Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2020
For the forty-third time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented online during the annual AECT Convention. Volume 1 contains 37 papers dealing primarily with research and development topics. Papers dealing with the…
Descriptors: Educational Technology, Technology Uses in Education, Professional Development, Feminism
Tao, Yu-Hui; Yeh, C. Rosa; Hung, Kung Chin – Computers & Education, 2012
Previous studies on business simulation games (BSGs) have concluded that improved performance may not be the primary benefit of using BSGs, due to mixed results between student performance and perceptions. Two relevant and insightful issues attract our attention, namely, the impacts of the heterogeneous student population and the different…
Descriptors: Academic Achievement, Student Characteristics, Learning Motivation, Regression (Statistics)
Frank, Anders – Simulation & Gaming, 2012
A risk associated with the use of games in training and education is that players "game the game," instead of focusing on their learning goals. The term "gamer mode" is proposed to describe this attitude. A player with a gamer-mode attitude strives to achieve goals that are optimal for winning the game, but suboptimal with…
Descriptors: Foreign Countries, Student Attitudes, Educational Objectives, War
Dieker, Lisa; Hynes, Michael; Hughes, Charles; Smith, Eileen – Focus on Exceptional Children, 2008
As technology evolves, so does its impact on people's lives. These changes clearly affect people's daily activities, but how might they also impact education, teachers, and the lives of students with disabilities? This article focuses on technological innovations and their potential implications for students and teachers in schools. This article…
Descriptors: Disabilities, Special Education, Simulation, Educational Technology
Gamble, Rondal R. – 1969
Some people are endowed with advantages which allow them to make full use of educational opportunities. Others, for one reason or another, become high-risk students with limited educational possibilities. Almost all students at some period of time are appropriately identified in the "high risk" category. A more effective method than those…
Descriptors: Academic Ability, Computer Assisted Instruction, Computers, Guidance Programs
Basham, K. Lynn; Kotrlik, Joe W. – Journal of Technology Education, 2008
Spatial abilities are fundamental to human functioning in the physical world. Spatial reasoning allows people to use concepts of shape, features, and relationships in both concrete and abstract ways, to make and use things in the world, to navigate, and to communicate. Surgeons, pilots, architects, engineers, mechanics, builders, farmers, trades…
Descriptors: Computer Assisted Design, Educational Technology, Spatial Ability, Grade 9

Goodyear, Peter; And Others – Education and Computing, 1991
Reports on two aspects of the SIMULATE (Simulation Authoring Tools Environment) project: an account of the learning processes that are involved in learning with computer simulations, and an inventory of learner attributes. Topics discussed include ISLEs (intelligent simulation learning environments), prior knowledge, motivation, cognitive style,…
Descriptors: Authoring Aids (Programing), Cognitive Style, Computer Assisted Instruction, Computer Simulation

Yildiz, Rauf; Atkins, Madeleine – British Journal of Educational Technology, 1996
Examines the effect of 3 different types of multimedia simulation (physical, procedural, and process) for teaching the concept of energy to 14-year-old students. Pre- and posttest results showed significant, consistent cognitive gain for the physical simulation; and a more complex and varied pattern of interaction between type of simulation and…
Descriptors: Cognitive Development, Computer Assisted Instruction, Computer Simulation, Energy

VanLehn, Kurt; And Others – Journal of Artificial Intelligence in Education, 1994
Explains the concept of a computerized simulated student as a model of human learning and explores three areas of application: for teachers, for students, and for instructional designers during formative evaluation. Technical limitations, existing prototype systems, and possible future systems are discussed for each area. (Contains 85 references.)…
Descriptors: Computer Assisted Instruction, Computer Simulation, Formative Evaluation, Futures (of Society)
Conklin, George H. – 1977
Introductory social science courses could benefit from introducing experiment simulation into the curriculum via the computer. Properly used, the computer should enable the instructor to include the benefits of the laboratory at a reasonable cost into a pre-existing course. The EXPER-SIM (Experiment Simulation) program was combined with PROFIS, a…
Descriptors: Academic Ability, Computer Assisted Instruction, Computer Programs, Course Descriptions
Norton, Priscilla; Resta, Virginia – Educational Technology, 1986
This study investigated the impact of integrated learning systems, problem solving software, and simulation software on elementary students' reading performance. Results indicate students entering fourth through sixth grade profited more from instruction supplemented by problem-solving and simulation software than from skills instruction. Results…
Descriptors: Age Differences, Analysis of Covariance, Computer Assisted Instruction, Computer Simulation
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