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Tansomboon, Charissa; Gerard, Libby F.; Linn, Marcia – AERA Online Paper Repository, 2017
This study compares two designs of automated guidance for short essays in an online thermodynamics unit. Students are prompted by automated guidance to either "revisit" evidence in a dynamic model prior or to plan "writing" changes prior to revision. In this paper we specifically examine how receiving either type of guidance…
Descriptors: Automation, Guidance, Web Based Instruction, Inquiry
Aznar, Mercedes; Zacarés, José; López, Jaime; Sánchez, Rafael; Pastor, José M.; Llorca, Jaume – Journal of Technology and Science Education, 2015
The acquisition of both transversal and specific competences cannot be achieved using conventional methodologies. New methodologies must be applied that promote the necessary competences for proper professional development. Interdisciplinary projects can be a suitable tool for competence-based learning. A priori, this might be complicated, as…
Descriptors: Interdisciplinary Approach, Engineering Education, Automation, Industry
Martens, Heidi; Dekens, Tomas; Van Nuffelen, Gwen; Latacz, Lukas; Verhelst, Werner; De Bodt, Marc – Journal of Speech, Language, and Hearing Research, 2015
Purpose: In this study, a new algorithm for automated determination of speech rate (SR) in dysarthric speech is evaluated. We investigated how reliably the algorithm calculates the SR of dysarthric speech samples when compared with calculation performed by speech-language pathologists. Method: The new algorithm was trained and tested using Dutch…
Descriptors: Articulation Impairments, Neurological Impairments, Automation, Measurement
Bayne, Sian – Teaching in Higher Education, 2015
Promises of "teacher-light" tuition and of enhanced "efficiency" via the automation of teaching have been with us since the early days of digital education, sometimes embraced by academics and institutions, and sometimes resisted as a set of moves which are damaging to teacher professionalism and to the humanistic values of…
Descriptors: Foreign Countries, Higher Education, Online Courses, Group Instruction
Harteis, Christian; Fischer, Christoph; Töniges, Torben; Wrede, Britta – Frontline Learning Research, 2018
Preventing humans from committing errors is a crucial aspect of man-machine interaction and systems of computer assistance. It is a basic implication that those systems need to recognise errors before they occur. This paper reports an exploratory study that utilises eye-tracking technology and automated face recognition in order to analyse test…
Descriptors: Learning Processes, Error Patterns, Error Correction, Eye Movements
Choudaha, Rahul; van Rest, Edwin – Online Submission, 2018
A decade ago, the world was not prepared for the widespread impact of the global financial recession. Gradually, the operating focus of higher education sector in many high-income countries around shifted, causing budget-cuts to become a recurring and dominant theme. Yet, at the same time, the expanding middle-class in emerging countries were keen…
Descriptors: Educational Trends, Higher Education, College Students, Student Mobility
Jones, Corinne A.; Hoffman, Matthew R.; Geng, Zhixian; Abdelhalim, Suzan M.; Jiang, Jack J.; McCulloch, Timothy M. – Journal of Speech, Language, and Hearing Research, 2014
Purpose: The purpose of this study was to investigate inter- and intrarater reliability among expert users, novice users, and speech-language pathologists with a semiautomated high-resolution manometry analysis program. We hypothesized that all users would have high intrarater reliability and high interrater reliability. Method: Three expert…
Descriptors: Reliability, Automation, Measurement, Expertise
Kyrilov, Angelo; Noelle, David C. – International Association for Development of the Information Society, 2014
Information technology is now ubiquitous in higher education institutions worldwide. More than 85% of American universities use e-learning systems to supplement traditional classroom activities while some have started offering Massive Online Open Courses (MOOCs), which are completely online. An obvious benefit of these online tools is their…
Descriptors: Grading, Automation, Feedback (Response), Computer Science Education
Mack, Melissa; Dunham, Kate – Mathematica, 2021
Enacted in 2014, the Workforce Innovation and Opportunity Act (WIOA) was designed to increase collaboration among workforce systems at the federal, state, and local levels to integrate the array of programs and services available to job seekers and businesses through American Job Centers (AJCs). WIOA requires the U.S. Department of Labor (DOL) to…
Descriptors: Labor Legislation, Federal Legislation, Labor Force Development, Program Evaluation
Millan, Eva; Belmonte, Maria-Victoria; Ruiz-Montiel, Manuela; Gavilanes, Juan; Perez-de-la-Cruz, Jose-Luis – IEEE Transactions on Learning Technologies, 2016
In this paper, we present BH-ShaDe, a new software tool to assist architecture students learning the ill-structured domain/task of housing design. The software tool provides students with automatic or interactively generated floor plan schemas for basic houses. The students can then use the generated schemas as initial seeds to develop complete…
Descriptors: Computer Software, Educational Technology, Architectural Education, Design
Dorn, Sheri – Journal of Extension, 2016
Record-keeping systems (or volunteer management systems) were identified as a capacity-building tool for Extension master gardener volunteer (EMGV) programs. Not all states have or use such systems, and there are differences among existing systems. A survey was conducted in June 2015 to document and compare record-keeping systems for EMGV programs…
Descriptors: Extension Education, Gardening, Recordkeeping, Volunteers
Ryoo, Kihyun; Linn, Marcia C. – Journal of Research in Science Teaching, 2016
Advances in automated scoring technologies have the potential to support student learning during inquiry instruction by providing timely and adaptive guidance on individual students' responses. To identify which forms of automated guidance can be beneficial for inquiry learning, we compared reflective guidance to directive guidance for…
Descriptors: Active Learning, Inquiry, Computer Assisted Testing, Scoring
Roberts , Amy M.; LoCasale-Crouch, Jennifer; Hamre, Bridget K.; Buckrop, Jordan M. – Online Learning, 2017
Although scalable programs, such as online courses, have the potential to reach broad audiences, they may pose challenges to evaluating learners' knowledge and skills. Automated scoring offers a possible solution. In the current paper, we describe the process of creating and testing an automated means of scoring a validated measure of teachers'…
Descriptors: Video Technology, Scoring, Automation, Computer Assisted Testing
Espedido, Rosei; Du Toit, Wilhelmina – Australian Mathematics Teacher, 2017
The authors of this article strongly advocate for a change to the current Australian model of primary education in order to, among other things, establish the concrete practicalities of systematic mathematics thinking thereby limiting the "re-teaching" time required of secondary school mathematics teachers; bring a clear focus to the…
Descriptors: Foreign Countries, Mathematics Teachers, Teacher Attitudes, Advocacy
Chen, Jing; Zhang, Mo; Bejar, Isaac I. – ETS Research Report Series, 2017
Automated essay scoring (AES) generally computes essay scores as a function of macrofeatures derived from a set of microfeatures extracted from the text using natural language processing (NLP). In the "e-rater"® automated scoring engine, developed at "Educational Testing Service" (ETS) for the automated scoring of essays, each…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essay Tests

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