93 research outputs found

    FILTWAM and Voice Emotion Recognition

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    This paper introduces the voice emotion recognition part of our framework for improving learning through webcams and microphones (FILTWAM). This framework enables multimodal emotion recognition of learners during game-based learning. The main goal of this study is to validate the use of microphone data for a real-time and adequate interpretation of vocal expressions into emotional states were the software is calibrated with end users. FILTWAM already incorporates a valid face emotion recognition module and is extended with a voice emotion recognition module. This extension aims to provide relevant and timely feedback based upon learner's vocal intonations. The feedback is expected to enhance learner’s awareness of his or her own behavior. Six test persons received the same computer-based tasks in which they were requested to mimic specific vocal expressions. Each test person mimicked 82 emotions, which led to a dataset of 492 emotions. All sessions were recorded on video. An overall accuracy of our software based on the requested emotions and the recognized emotions is a pretty good 74.6% for the emotions happy and neutral emotions; but will be improved for the lower values of an extended set of emotions. In contrast with existing software our solution allows to continuously and unobtrusively monitor learners’ intonations and convert these intonations into emotional states. This paves the way for enhancing the quality and efficacy of game-based learning by including the learner's emotional states, and links these to pedagogical scaffolding.The Netherlands Laboratory for Lifelong Learning (NELLL) of the Open University of the Netherlands

    Dissolving the Dichotomies Between Online and Campus-Based Teaching: a Collective Response to The Manifesto for Teaching Online (Bayne et al. 2020)

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    This article is a collective response to the 2020 iteration of The Manifesto for Teaching Online. Originally published in 2011 as 20 simple but provocative statements, the aim was, and continues to be, to critically challenge the normalization of education as techno-corporate enterprise and the failure to properly account for digital methods in teaching in Higher Education. The 2020 Manifesto continues in the same critically provocative fashion, and, as the response collected here demonstrates, its publication could not be timelier. Though the Manifesto was written before the Covid-19 pandemic, many of the responses gathered here inevitably reflect on the experiences of moving to digital, distant, online teaching under unprecedented conditions. As these contributions reveal, the challenges were many and varied, ranging from the positive, breakthrough opportunities that digital learning offered to many students, including the disabled, to the problematic, such as poor digital networks and access, and simple digital poverty. Regardless of the nature of each response, taken together, what they show is that The Manifesto for Teaching Online offers welcome insights into and practical advice on how to teach online, and creatively confront the supremacy of face-to-face teaching

    Technology-enhanced learning in higher education : How to enhance student engagement through blended learning

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    Blended learning has risen in popularity in the last two decades as it has been shown to be an effective approach for accommodating an increasingly diverse student population in higher education and enriching the learning environment by incorporating online teaching resources. Blending significant elements of the learning environment such as face-to-face, online and self-paced learning leads to better student experiences and outcomes and more efficient teaching and course management practices if combined appropriately. Hence, an appropriate systematic and dynamic approach of blended learning design is crucial for a positive outcome, starting with planning for integrating blended elements into a course and creating blended activities and implementing them. Evaluating their effectiveness and knowing in which environments they work better and improving the blended activities designed from both the student’s and instructor’s perspective are critical for the next delivery of the course. This article aims to increase awareness of higher education educators about how traditional face-to-face learning can be transformed into blended courses so as to develop student engagement with both in-class and online approaches, whilst being time effective for the instructor

    How instructors initially viewed teaching online in higher education in the UK during the COVID-19 pandemic

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    Learning and teaching in higher education institutions around the world have been heavily affected by the outbreak of COVID-19 since the fall of 2019. Teachers were suddenly told to convert their classes online and to be prepared to teach virtually. An online focus group (n = 9) was conducted during the initial period of lockdown in the UK at the end of March 2020 to find out about their teaching experiences of transition into online education. A number of challenges were identified in both synchronous and asynchronous teaching processes, including unfamiliarity with the learning management system, privacy concerns, student engagement, preparation time and technological issues. A set of best practices was developed for instructors teaching online during the COVID-19 pandemic

    Examining the impact of digital technologies on students’ Higher Education outcomes:The case of the Virtual Learning Environment and social media

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    Digital natives is a term used to describe current higher education (HE) students, whose lives are proliferated by digital technologies. To cater to the needs of this new generation of students, HE institutions increasingly adopt digital tools such as virtual learning environments (VLE) and social media (SM). Little is known, however, about the impact of these digital technologies on students’ HE outcomes. Drawing from service productivity theories, this study aims to address this gap. Through exploratory sequential mixed research methods, we identify five HE outcomes and reveal that Learning-Oriented Outcomes are the most important in HE even when digital technologies are not used; and these outcomes are further enhanced when students use VLE. Learning-Oriented Outcomes, however, are the least important when SM is used in HE; students tend to prioritise outcomes related to Knowledge Transfer instead. Our research findings derive theoretical and practical contributions and open up avenues for future research

    Online collaboration and cooperation : the recurring importance of evidence, rationale and viability

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    This paper investigates collaboration in teaching and learning and draws out implications for the promotion of collaboration within online environments. It is divided into four sections. First the case for collaboration, including specifically cooperative approaches, is explored. This case revolves around the impact of collaboration on the quality of learning and on learning outcomes. Collaboration is seen as constrained by context but, if structured and rewarded, it will bring important motivational and cognitive benefits. Next, the case for online collaboration is examined. This is based on longstanding arguments about the benefits of working together albeit in an environment which offers greater reach; a mix of media; and archives of interaction. The third section of the paper compares perspectives on online collaboration with a longer tradition of research into collaboration in general; it critiques the idea that online mediation offers a paradigm change in teaching and learning. The fourth section of the paper considers future directions for promoting online collaboration
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