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The flipped classroom instructional strategy is thought to be a good way to structure learning experiences to improve student learning outcomes. Many studies have been conducted to examine the effects of flipped classroom on student learning outcomes compared to the traditional classroom, but the results were inconclusive. The purpose of this study was to examine the overall effect of the flipped classroom instructional strategy on student learning outcomes in relation to a set of moderating variables including student levels, publication types, study durations, and subject area. This meta-analysis examined studies that compared classrooms that used the flipped classroom instructional strategy and classrooms that did not. Seventeen databases were searched to identify literature meeting our inclusion criteria and resulted in 55 publications with 115 effect size comparisons on cognitive student learning outcomes published between 2000 and 2016. Overall, we found a statistically significant effect size (g = 0.193; p < .001; with a 95% confidence interval of 0.113-0.274) in favor of the flipped classroom instructional strategy. The effect size data were normally distributed and exhibited statistically significant heterogeneity. The effect sizes were significantly moderated by subject area such as mathematics, science, social sciences, engineering, arts and humanities, health, and business. No evidence of publication bias was detected in these data. A full discussion of the findings and implications for educational practice and research were provided.

Online (language) teaching has been found to be as effective as face‐to‐face (F2F) learning (Moneypenny & Aldrich 2016, J. Educators Online, 13, 105–174; Goertler & Gacs, 2018, Die Unterrichtspraxis/Teaching German, 51, 156–174). Online language teaching has different affordances and challenges than F2F teaching, which can be taken into consideration when online language education is carefully planned using a backwards design iterative process (e.g., Meskill & Anthony, 2015, Teaching language online). In early 2020, many institutions rapidly transitioned away from F2F instruction due to the global pandemic. While this was at times referred to as online teaching, it in fact is not planned online teaching but rather crisis‐prompted remote teaching (Hodges, Moore, Lockee, Trust, & Bond, 2020, Educause Review, 27 March). Given the circumstances and the timeframes for crisis online teaching, quality expectations must be lowered especially in regards to testing security, technological sophistication, accessibility, copyright, and learning outcomes. This article presents a roadmap for planning, implementing, and evaluating online education in ideal and in crisis contexts. The Challenge In Spring 2020, teachers around the globe were suddenly forced to teach online, learners forced to learn online. Emotions ran high, lawsuits were filed. Yet, it is important to acknowledge that this crisis‐prompted remote language teaching is not comparable to well‐designed and carefully planned online language education.

In response to pedagogical challenges in higher education, blended learning has become a prevalent practice in colleges and universities. Flipped learning (FL) represents a newly emerging form of blended learning, where students individually watch online lectures prior to class and then engage in classroom learning activities interacting with peers and instructors. Although the conceptual framework of FL may be intuitively appealing, its design and implementation involve considerable intricacy. The purpose of this study was to develop a FL design model for higher education that could systematically guide instructors or designers in creating an appropriate blend of individualized online lectures and collaborative face-to-face learning activities. Using an established method for model development research, a theoretically constructed initial model was iteratively improved and underwent internal and external validation through model usability tests, expert review, and field evaluation. The implementation of an algebra class in a Korean university designed by the final model resulted in significant increases in the maturity of mathematical views, quality of reflections, and satisfactions of students. Features of the model are discussed, along with theoretical and practical implications and suggestions for further research.

In the light of substantial improvements to the quality and availability of virtual reality (VR) hardware seen since 2013, this review seeks to update our knowledge about the use of head-mounted displays (HMDs) in education and training. Following a comprehensive search 21 documents reporting on experimental studies were identified, quality assessed, and analysed. The quality assessment shows that the study quality was below average according to the Medical Education Research Study Quality Instrument, especially for the studies that were designed as user evaluations of educational VR products. The review identified a number of situations where HMDs are useful for skills acquisition. These include cognitive skills related to remembering and understanding spatial and visual information and knowledge; psychomotor skills related to head-movement, such as visual scanning or observational skills; and affective skills related to controlling your emotional response to stressful or difficult situations. Outside of these situations the HMDs had no advantage when compared to less immersive technologies or traditional instruction and in some cases even proved counterproductive because of widespread cybersickness, technological challenges, or because the immersive experience distracted from the learning task.

Background:In the modern society when intelligent mobile devices become popular, the Internet breaks through the restrictions on time and space and becomes a ubiquitous learning tool. Designing teaching activity for digital learning and flexibly applying technology tools are the key issues for current information technology integrated education.Material and methods:In this study, students are tested and proceeded questionnaire survey to understand the opinions about digital learning. To effectively achieve the research objectives and test the research hypotheses, quasi-experimental research is applied in this study. Total 116 students in 4 classes are selected as the research subjects for the instructional research.Results:The research results conclude that 1.digital learning presents better positive effects on learning motivation than traditional teaching does, 2.digital learning shows better positive effects on learning outcome than traditional teaching does, 3.learning motivation reveals significantly positive effects on learning effect in learning outcome, and 4.learning motivation appears remarkably positive effects on learning gain in learning outcome.Conclusions:It is expected to combine with current teaching trend and utilize the advantages of digital learning to develop practicable teaching strategies for the teaching effectiveness.

Conventional nursing courses have solely adopted lecture-based instruction for knowledge delivery, which tends to lack interaction, rehearsal, and personalized feedback. The development of chatbot technologies and their broad application have provided an opportunity to solve the abovementioned problems. Some knowledge-based chatbot systems have been developed; however, it is still a challenging issue for researchers to determine exactly how to effectively apply these chatbot technologies in nursing training courses. Intending to explore the application mode of chatbot technologies and their effectiveness in nursing education, this study integrated a knowledge-based chatbot system into the teaching activities of a physical examination course, using smartphones as the learning devices, and guiding students to practice their anatomy knowledge in addition to analyzing their learning efficacy and pleasure. A quasi-experiment was conducted by recruiting two classes of university students with nursing majors. One class was the experimental group learning with the knowledge-based chatbot system, while the other class was the control group learning with the traditional instruction. Based on the experimental results, the knowledge-based chatbot system effectively enhanced students' academic performance, critical thinking, and learning satisfaction. The results indicate that the application of chatbots has great potential in nursing education.

In this essay, Erica Halverson and Kimberly Sheridan provide the context for research on the maker movement as they consider the emerging role of making in education. The authors describe the theoretical roots of the movement and draw connections to related research on formal and informal education. They present points of tension between making and formal education practices as they come into contact with one another, exploring whether the newness attributed to the maker movement is really all that new and reflecting on its potential pedagogical impacts on teaching and learning.

During the COVID-19 pandemic, educational institutions were shut down all over the world, which impacted over 60% of students and caused a massive disruption of the education system. The goal of this paper was to identify the critical success factors for E-learning during COVID-19 using the multi-criteria Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) techniques to enhance the educational process. Data were generated by interviewing 69 E-learning managers in educational institutions during COVID-19 based on defined evaluation criteria and E-learning approaches through several channels. We found that technology management, support from management, increased student awareness to use E-learning systems, and demanding a high level of information technology from instructors, students, and universities were the most influential factors for E-learning during COVID-19. Among the five learning systems, blended learning was the most suitable learning system to practice. These results demonstrated that, regardless of how extraordinary the technology is in an educational institution, the readiness of E-learning execution played a large role in boosting the educational process during the COVID-19 pandemic.

What is the social, emotional, and academic impact of attending school remotely rather than in person? We address this issue using survey data collected from N = 6,576 high school students in a large, diverse school district that allowed families to choose either format in fall 2020. Controlling for baseline measures of well-being collected 1 month before the onset of the COVID-19 pandemic as well as demographics, high school students who attended school remotely reported lower levels of social, emotional, and academic well-being (effect size [ES] = 0.10, 0.08, and 0.07 standard deviations, respectively) than classmates who attended school in person—differences that were consistent across gender, race and ethnicity, and socioeconomic status subgroups but significantly wider among 10th-12th graders than ninth graders.

Most current definitions of blended learning refer to a blend of online and face‑to‑face instruction. It seems that few authors notice the irony that the definition of blended learning does not include the concept of learning at all. The problem with these definitions is that they are devoid of theory and thus lead to trial‑and‑error research. This paper argues that the definition of blended learning should be built around learning theory and should refer to a blend of direct instruction and learning‑by‑doing. The paper reports on research conducted to validate a model that puts behavioural and constructivist learning at right angles and considers if the two can occur simultaneously. The model is then placed in the context of a framework of knowledge management and from there a definition is derived that includes context, theory, methodology and technology.