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Briggs, Derek C.; Circi, Ruhan – International Journal of Testing, 2017
Artificial Neural Networks (ANNs) have been proposed as a promising approach for the classification of students into different levels of a psychological attribute hierarchy. Unfortunately, because such classifications typically rely upon internally produced item response patterns that have not been externally validated, the instability of ANN…
Descriptors: Artificial Intelligence, Classification, Student Evaluation, Tests
Mandel, Travis Scott – ProQuest LLC, 2017
When a new student comes to play an educational game, how can we determine what content to give them such that they learn as much as possible? When a frustrated customer calls in to a helpline, how can we determine what to say to best assist them? When an ill patient comes in to the clinic, how do we determine what tests to run and treatments to…
Descriptors: Reinforcement, Learning Processes, Student Evaluation, Data Collection
Aoun, Joseph E.; Kosslyn, Stephen M. – Liberal Education, 2018
Technology is a catalyst that is reconfiguring every profession, from finance to medicine to media. Old verities about "useful" skills are disappearing into the cloud. Many students give the existential question "What do I want to be?" a simple response: "Employed." It is not obvious what skills that will require in a…
Descriptors: Artificial Intelligence, 21st Century Skills, Automation, Context Effect
Bass, Randy – Change: The Magazine of Higher Learning, 2018
The future of human learning will be shaped by technology, but in ways completely different from those of the past. Over recent decades, the emergence and development of educational technology has been largely divorced from the broader cultural conversation about the impact of machine intelligence on the future of humanity. Technology can best…
Descriptors: Futures (of Society), Educational Technology, Educational Trends, Artificial Intelligence
London, Manuel; Diamante, Thomas – APA Books, 2018
Innovation is one of the key drivers of success in modern business, and continuous learning is what drives innovation. Building on the theory and practice of consulting psychology and the science of learning, along with principles of human resources development, Manuel London and Thomas Diamante articulate a five-step process for designing and…
Descriptors: Intervention, Consultants, Instructional Design, Needs Assessment
Gallacher, Andrew; Thompson, Andrew; Howarth, Mark – Research-publishing.net, 2018
Japanese university students (N=253) conversed with human and Artificially intelligent (AI) chatbot partners then recorded their perceptions of these interactions via open-ended written feedback. This data was qualitatively analyzed to gain a better understanding of the merits and demerits of using chatbots for English study from the students'…
Descriptors: Robotics, Student Attitudes, Second Language Learning, Second Language Instruction
Derlina; Aisyah; Bukit, Nurdin; Sahyar; Hassan, Ahdi – TESOL International Journal, 2020
Globalization and the emergence of IT also rendered English more relevant for second language learners. This study aims to determine the effectiveness of blended learning in improving student learning outcomes in English and physics, using augmented reality, Edmodo, and tinkercad media. This is a quasi-experimental study with data randomly…
Descriptors: Teaching Methods, Blended Learning, English (Second Language), Second Language Learning
van der Wende, Marijk, Ed.; Kirby, William C., Ed.; Liu, Nian Cai, Ed.; Marginson, Simon, Ed. – Oxford University Press, 2020
The global order, based on international governance and multilateral trade mechanisms in the aftermath of the Second World War, is changing rapidly and creating waves of uncertainty. This is especially true in higher education, a field increasingly built on international cooperation and the free movement of students, academics, knowledge, and…
Descriptors: Foreign Countries, Higher Education, International Cooperation, Global Approach
Pouliakas, Konstantinos, Ed. – Cedefop - European Centre for the Development of Vocational Training, 2021
The world of work is being impacted by a fourth industrial revolution, transformed by artificial intelligence and other emerging technologies. With forecasts suggesting large shares of workers, displaced by automation, in need of upskilling/reskilling, the design of active skills policies is necessary. Conventional methods used to anticipate…
Descriptors: Job Skills, Information Technology, Artificial Intelligence, Employment Qualifications
Pouliakas, Konstantinos, Ed. – Cedefop - European Centre for the Development of Vocational Training, 2021
The world of work is being impacted by a fourth industrial revolution, transformed by artificial intelligence and other emerging technologies. With forecasts suggesting large shares of workers, displaced by automation, in need of upskilling/reskilling, the design of active skills policies is necessary. Conventional methods used to anticipate…
Descriptors: Job Skills, Information Technology, Artificial Intelligence, Employment Qualifications
Hannah, L.; Kim, H.; Jang, E. E. – Language Assessment Quarterly, 2022
As a branch of artificial intelligence, automated speech recognition (ASR) technology is increasingly used to detect speech, process it to text, and derive the meaning of natural language for various learning and assessment purposes. ASR inaccuracy may pose serious threats to valid score interpretations and fair score use for all when it is…
Descriptors: Task Analysis, Artificial Intelligence, Speech Communication, Audio Equipment
Mertanen, Katariina; Vainio, Saara; Brunila, Kristiina – Policy Futures in Education, 2022
Managing the future has become one of the major focuses of global governance in education. In its current mode, education seems unable to answer the needs and interests of the market and future megatrends, such as globalisation and digitalisation. Calls for precision education to introduce the usage of digital platforms, artificial intelligence in…
Descriptors: Governance, Futures (of Society), Educational Administration, Technology Uses in Education
Utecht, Jeff; Keller, Doreen – Critical Questions in Education, 2019
This paper will examine the eight principles of Connectivism Learning Theory and provide examples of how institutions of learning--K-12 and higher education--may think about applying them. Engaging in such work will allow institutions to take advantage of technological platforms as they exist today and into the future. While the Internet has…
Descriptors: Learning Theories, Elementary Schools, Secondary Schools, Critical Thinking
Barret, Mandy; Branson, Lisa; Carter, Sheryl; DeLeon, Frank; Ellis, Justin; Gundlach, Cirrus; Lee, Dale – Inquiry, 2019
Artificial intelligence (AI) technology is becoming the basis for business. Most businesses use it to improve the customer experience. The education community is just beginning to find ways to successfully implement AI for staff and students. Artificial Intelligence should be leveraged to create a better student experience. For example, Elon…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Educational Opportunities
Rowe, Emma – Discourse: Studies in the Cultural Politics of Education, 2019
This paper explores third-wave post-neoliberalism as an assemblage, fractured and dis/embodied, a mobile tool of governance articulated in various shapes across geopolitical sites. Post-neoliberalism is assembled alongside other key cultural shifts, such as post-truth, posthuman and the computational turn. In light of this Special Issue, this…
Descriptors: Social Systems, Neoliberalism, Governance, Educational Change