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Merritts, Richard A. – ProQuest LLC, 2013
This research has two facets within separate research areas. The research area of Belief, Desire and Intention (BDI) agent capability development was extended. Deception detection research has been advanced with the development of automation using BDI agents. BDI agents performed tasks automatically and autonomously. This study used these…
Descriptors: Deception, Measures (Individuals), Computer Software, Prevention
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Santiago Berrezueta Ed. – Lecture Notes in Educational Technology, 2023
The proceedings of the 18th edition of Latin American Conference on Learning Technologies (LACLO) demonstrates the developments in the research of learning science, learning resources, challenges and solutions. This Proceedings book showcases a collection of quality articles that explores and discusses trending topics in education in the upcoming…
Descriptors: Educational Technology, Active Learning, Design, Telecommunications
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Glenn Stockwell – Technology in Language Teaching & Learning, 2019
Despite the large amount of research that has taken place with mobile devices for language learning over the years, there are still limited conclusions that can be reached as to what contributes to sustained task engagement. A common problem that has long been seen in the CALL literature is that many tasks and activities that are reported are…
Descriptors: Task Analysis, Learner Engagement, Second Language Instruction, Second Language Learning
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Iqbal, Azlan – Journal of Aesthetic Education, 2012
Computational aesthetics is a relatively new subfield of artificial intelligence (AI). It includes research that enables computers to "recognize" (and evaluate) beauty in various domains such as visual art, music, and games. Aside from the benefit this gives to humans in terms of creating and appreciating art in these domains, there are perhaps…
Descriptors: Aesthetics, Artificial Intelligence, Computer Software, Games
Samarakou, Maria; Fylladitakis, Emmanouil D.; Prentakis, Pantelis; Athineos, Spyros – International Association for Development of the Information Society, 2014
In laboratory courses, the assessment of exercises and assignments typically is treated as a simple, quantifiable approach. This approach however rarely includes qualitative factors, especially if the grading is being automatically performed by the system, and provides little to no feedback for the students to reflect on their work. The role of…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Evaluation Methods, Engineering Education
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Bennane, Abdellah – Informatics in Education, 2013
The introduction of the intelligence in teaching software is the object of this paper. In software elaboration process, one uses some learning techniques in order to adapt the teaching software to characteristics of student. Generally, one uses the artificial intelligence techniques like reinforcement learning, Bayesian network in order to adapt…
Descriptors: Computer Software, Educational Technology, Artificial Intelligence, Reinforcement
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Akkanat, Çigdem; Gökdere, Murat – Asia-Pacific Forum on Science Learning and Teaching, 2015
The purpose of this study was to determine chemistry teachers' views of creativity. In this study, phenomenology method, one of the qualitative research patterns, was used. The participants of this study were 13 chemistry teachers working in Amasya. A semi-structured interview form was used for data collection. By using NVivo 9 qualitative…
Descriptors: Chemistry, Science Teachers, Teacher Attitudes, Creativity
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de Leeuw, Linda; Segers, Eliane; Verhoeven, Ludo – Scientific Studies of Reading, 2016
The focus of the present study was on the mediation and moderation effects of reading processes as evidenced from eye movements on the relation between cognitive and linguistic student characteristics (word decoding, vocabulary, comprehension skill, short-term memory, working memory, and nonverbal intelligence) and text comprehension. Forty 4th…
Descriptors: Reading Comprehension, Eye Movements, Regression (Statistics), Nonverbal Ability
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Heslep, Robert D. – Studies in Philosophy and Education, 2012
The computer engineers who refer to the education of computers do not have a definite idea of education and do not bother to justify the fuzzy ones to which they allude. Hence, they logically cannot specify the features a computer must have in order to be educable. This paper puts forth a non-standard, but not arbitrary, concept of education that…
Descriptors: Artificial Intelligence, Computers, Computer Software, Human Factors Engineering
Delgado, M.; Fajardo, W.; Molina-Solana, M. – International Association for Development of the Information Society, 2013
In the last decades there have been several attempts to use computers in Music Education. New pedagogical trends encourage incorporating technology tools in the process of learning music. Between them, those systems based on Artificial Intelligence are the most promising ones, as they can derive new information from the inputs and visualize them…
Descriptors: Electronic Learning, Computer Software, Music Education, Music Activities
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Ercan, Orhan; Ural, Evrim; Köse, Sinan – Science Education International, 2017
For a sustainable world, it is very important for students to develop positive environmental attitudes and to have awareness of energy use. The study aims to investigate the effect of web assisted instruction with emotional intelligence content on 8th grade students' emotional intelligence, attitudes towards environment and energy saving, academic…
Descriptors: Emotional Intelligence, Energy Conservation, Conservation (Environment), Student Attitudes
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Dogmus, Zeynep; Erdem, Esra; Patogulu, Volkan – IEEE Transactions on Education, 2015
This paper presents ReAct!, an interactive educational tool for artificial intelligence (AI) planning for robotics. ReAct! enables students to describe robots' actions and change in dynamic domains without first having to know about the syntactic and semantic details of the underlying formalism, and to solve planning problems using…
Descriptors: Robotics, Artificial Intelligence, Instructional Effectiveness, Outcomes of Education
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Van Der Steen, Steffie; Samuelson, Dianne; Thomson, Jennifer M. – Written Communication, 2017
This study addresses the current debate about the beneficial effects of text processing software on students with different working memory (WM) during the process of academic writing, especially with regard to the ability to display higher-level conceptual thinking. A total of 54 graduate students (15 male, 39 female) wrote one essay by hand and…
Descriptors: Word Processing, Keyboarding (Data Entry), Writing (Composition), Educational Benefits
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Climie, Emma A.; Rostad, Kristin – Journal of Psychoeducational Assessment, 2011
This article presents a review of the "Wechsler Adult Intelligence Scale-Fourth Edition" (WAIS-IV), an individually administered measure of cognitive ability for individuals aged 16 years, 0 months to 90 years, 11 months. The WAIS-IV was designed with a number of specific goals including updated norms, increased user friendliness,…
Descriptors: Feedback (Response), Intelligence, Validity, Intelligence Tests
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Azevedo, Ana, Ed.; Azevedo, José, Ed. – IGI Global, 2019
E-assessments of students profoundly influence their motivation and play a key role in the educational process. Adapting assessment techniques to current technological advancements allows for effective pedagogical practices, learning processes, and student engagement. The "Handbook of Research on E-Assessment in Higher Education"…
Descriptors: Higher Education, Computer Assisted Testing, Multiple Choice Tests, Guides
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