This paper presents a systematic literature review of artificial intelligence (AI)-supported teaching and learning in early childhood. The focus is on human-machine cooperation in education. International evidence and associated problems with the reciprocal contributions of humans and machines are presented and discussed, as well as future…

The flipped classroom is a popular teaching method where course content is transferred to students through online resources to implement more active learning strategies in-class time. The study aims to investigate the effects of the flipped classroom on deep learning strategies and engagement at the undergraduate level, alongside students'…

"From Curiosity to Deep Learning: Personal Digital Inquiry in Grades K-5" reveals the powerful learning that results when you integrate purposeful technology into a classroom culture that values curiosity and deep learning. The centerpiece of this practical guide is Personal Digital Inquiry (PDI), a framework developed by Julie Coiro and…

In this paper, the authors propose a novel forwarding strategy based on deep learning that can adaptively route interests/data packets through ethernet links without relying on the FIB table. The experiment was conducted as a proof of concept. They developed an approach and an algorithm that leverage existing intelligent forwarding approaches in…

Noting that teens are disengaged in school and increasingly dispirited by social problems, the authors argue that these students need learning environments that foster engagement, connection, and a greater sense of purpose. They make the case for deep learning--learning that helps students "make connections to the world, to think critically,…

Machine learning systems are infiltrating our lives and are beginning to become important in our education systems. This article, developed from a synthesis and analysis of previous research, examines the implications of recent developments in machine learning for human learners and learning. In this article we first compare deep learning in…

Research on the relationship between learning approaches and variables such as the perceived impact of some university activities is limited. The present study analyses the relationship between Learning approaches (Student Process Questionnaire, SPQ) and high-impact educational practices (HIEPs). The sample consisted of 893 first and final-year…

Our interpretative study that was carried out in a science and engineering oriented university examined the ways students in an introductory biology course perceived their learning in the course that was substantially changed to allow student-centered learning. The instructional change was framed by the view of learning as a sociocultural activity…

Cloze items are commonly used for both assessing learning and as a learning activity. This paper investigates the selection of sentences for cloze item creation by comparing methods ranging from simple heuristics to deep learning summarization models. An evaluation using human-generated cloze items from three different science texts indicates that…

Taking an active and experiential approach to teaching is often assumed to be the best way to promote learning. However, the empirical evidence to support this assertion in entrepreneurship education is inconclusive, and current practice suggests that delivery in higher education is still quite passive and traditional. This 6-year, mixed method…

Among all the learning resources within MOOCs such as video lectures and homework, the discussion forum stood out as a valuable platform for students' learning through knowledge exchange. However, peer interactions on MOOC discussion forums are scarce. The lack of interactions among MOOC learners can yield negative effects on students' learning,…

Background: This study investigated the development of engineering students' approaches to learning and views on collaboration in a PBL environment. Material and methods: An explanatory mixed research approach was employed with participants from four PBL-implementing engineering courses in Qatar and China. 197 students responded to two surveys,…

The aim of this study is to examine how parents' support for their children's science homework and the goal orientation of students in science homework predict their deep learning and management strategies that students use when doing homework. For this purpose, among quantitative research approaches, correlational method was used in the study.…

This review covers the core concepts and design decisions of TensorFlow. TensorFlow, originally created by researchers at Google, is the most popular one among the plethora of deep learning libraries. In the field of deep learning, neural networks have achieved tremendous success and gained wide popularity in various areas. This family of models…

This article evaluates a "real-time" simulation where students role-play a United Nations Security Council negotiation over humanitarian intervention in Syria. This simulation is undertaken in a large introductory International Relations (IR) subject. The article argues that in order to achieve deep learning outcomes across the diverse,…