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Choudhry, Bushra Naoreen; Gujjar, Aijaz Ahmed – Journal on Educational Psychology, 2009
The main purpose of the paper was to find out the emotional intelligence of the students of faculty of education of the Islamia University of Bahawalpur. In order to get the desired end Wong & Law emotional intelligence scale (WLIS) was used after some amendments according to culture and environment, the scale was pilot tested and the…
Descriptors: Comparative Analysis, Statistical Analysis, Geography Instruction, Psychology
Tan, Lin – ProQuest LLC, 2009
Commenting source code has long been a common practice in software development. This thesis, consisting of three pieces of work, made novel use of the code comments written in natural language to improve software reliability. Our solution combines Natural Language Processing (NLP), Machine Learning, Statistics, and Program Analysis techniques to…
Descriptors: Computer Software, Coding, Reliability, Improvement
Kim, In-Seok – Reading Matrix: An International Online Journal, 2009
Many teachers and researchers believe learning preferences or learning styles can be used advantageously to enhance language study and motivate learners. Following an overview of Gardner's theory of multiple intelligences (MI) and research on multimedia-based approaches in foreign language instruction, this paper first describes a study comparing…
Descriptors: Multiple Intelligences, Computer Software, Second Language Instruction, Teaching Methods
Mangina, E.; Kilbride, J. – Computers & Education, 2008
User modeling has been found to enhance the effectiveness and/or usability of software systems through the representation of certain properties of a particular user. This paper presents the research and the results of the development of a user modeling system for the implementation of student models within e-learning environments, utilizing vector…
Descriptors: Computer Software, Computer Assisted Instruction, Computer Interfaces, Models
Anderson, Scott Victor – ProQuest LLC, 2009
Motivating students is a central challenge for many teachers, particularly in subjects students commonly perceive as "impenetrable," such as statistics. One line of motivation research by C.S. Dweck (2006) has found that when students believe their intelligence is malleable (i.e., a growth mindset) and that learning is a function of effort, they…
Descriptors: Student Motivation, Undergraduate Students, Statistics, Instruction
Eldakak, Sam – Online Submission, 2012
Computers can help the range of ways learners build up their own perception. Students who collect data from the Internet can be self-directed and independent. They can select sources to study and the connections to follow. Relying on the bounds laid down by teachers, the students may be in full control of their subjects and their studies. Students…
Descriptors: Computer Uses in Education, Computer Software, Educational Technology, Multimedia Materials
Searle, John R. – Scientific American, 1990
Discusses whether machines can think in the same sense that humans think. Provides four conclusions based on axioms of differences between computer programs and human minds. Compares claims of strong and weak artificial intelligence. (YP)
Descriptors: Artificial Intelligence, Computer Science, Computer Software, Computer Software Development
Rey-Lopez, Marta; Brusilovsky, Peter; Meccawy, Maram; Diaz-Redondo, Rebeca; Fernandez-Vilas, Ana; Ashman, Helen – International Journal on E-Learning, 2008
Current e-learning standardization initiatives have put much effort into easing interoperability between systems and the reusability of contents. For this to be possible, one of the most relevant areas is the definition of a run-time environment, which allows Learning Management Systems to launch, track and communicate with learning objects.…
Descriptors: Instructional Design, Integrated Learning Systems, Educational Technology, Artificial Intelligence
Peer reviewedChipuer, Heather M.; And Others – Intelligence, 1990
A model-fitting analysis of the covariance structure of an intelligence quotient (IQ) data set is reported using a model that considers additive and nonadditive genetic parameters and shared and nonshared environment parameters that permit different estimates for different types of relatives. The use of LISREL for such purposes is reviewed. (SLD)
Descriptors: Computer Software, Environmental Influences, Family Characteristics, Genetics
Grimes, Douglas; Warschauer, Mark – Journal of Technology, Learning, and Assessment, 2010
Automated writing evaluation (AWE) software uses artificial intelligence (AI) to score student essays and support revision. We studied how an AWE program called MY Access![R] was used in eight middle schools in Southern California over a three-year period. Although many teachers and students considered automated scoring unreliable, and teachers'…
Descriptors: Automation, Writing Evaluation, Essays, Artificial Intelligence
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
PDF pending restorationClancey, William J. – 1986
Artificial Intelligence researchers and cognitive scientists commonly believe that thinking involves manipulating representations. Thinking involves search, inference, and making choices. This is how we model reasoning and what goes on in the brain is similar. Winograd and Flores present a radically different view, claiming that our knowledge is…
Descriptors: Artificial Intelligence, Behavior Theories, Book Reviews, Cognitive Processes
Li, Frederick W. B.; Lau, Rynson W. H.; Dharmendran, Parthiban – International Journal of Distance Education Technologies, 2010
Existing adaptive e-learning methods are supported by student (user) profiling for capturing student characteristics, and course structuring for organizing learning materials according to topics and levels of difficulties. Adaptive courses are then generated by extracting materials from the course structure to match the criteria specified in the…
Descriptors: Electronic Learning, Programming, Profiles, Student Characteristics
Chakrabarti, Dilip Kumar; Chakraborty, Pinaki – Journal of Agricultural Education and Extension, 2007
Mango ("Mangifera indica") is a popular fruit and an important cash crop of southeast Asia. The mango malformation disease has been responsible for the degraded yield of the crop now for a long time (Kumar and Chakrabarti, 1997). The disease is difficult to cure and often takes the shape of an epidemic. Though much study has been done…
Descriptors: Disease Control, Artificial Intelligence, Computer Software, Plants (Botany)
Mendez, Juan A.; Gonzalez, Evelio J. – Computers & Education, 2010
As it happens in other fields of engineering, blended learning is widely used to teach process control topics. In this paper, the inclusion of a reactive element--a Fuzzy Logic based controller--is proposed for a blended learning approach in an introductory control engineering course. This controller has been designed in order to regulate the…
Descriptors: Online Courses, Web Based Instruction, Internet, Blended Learning

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