Innovative Pedagogies of the Future: An Evidence-Based Selection

There is a widespread notion that educational systems should empower learners with skills and competences to cope with a constantly changing landscape. Reference is often made to skills such as critical thinking, problem solving, collaborative skills, innovation, digital literacy, and adaptability. What is negotiable is how best to achieve the development of those skills, in particular which teaching and learning approaches are suitable for facilitating or enabling complex skills development. In this paper, we build on our previous work of exploring new forms of pedagogy for an interactive world, as documented in our Innovating Pedagogy report series. We present a set of innovative pedagogical approaches that have the potential to guide teaching and transform learning. An integrated framework has been developed to select pedagogies for inclusion in this paper, consisting of the following five dimensions: (a) relevance to effective educational theories, (b) research evidence about the effectiveness of the proposed pedagogies, (c) relation to the development of twenty-first century skills, (d) innovative aspects of pedagogy, and (e) level of adoption in educational practice. The selected pedagogies, namely formative analytics, teachback, place-based learning, learning with drones, learning with robots, and citizen inquiry are either attached to specific technological developments, or they have emerged due to an advanced understanding of the science of learning. Each one is presented in terms of the five dimensions of the framework.

[1]  R. Evans,et al.  Reliability of the "Draw-a-Man" test. , 1975 .

[2]  G. Pask Conversation Theory: Applications in Education and Epistemology , 1976 .

[3]  J. Bruner,et al.  The role of tutoring in problem solving. , 1976, Journal of child psychology and psychiatry, and allied disciplines.

[4]  Seymour Papert,et al.  Mindstorms: Children, Computers, and Powerful Ideas , 1981 .

[5]  E. V. Glaserfeld Einführung in den radikalen Konstruktivismus , 1987 .

[6]  A. Collins,et al.  Situated Cognition and the Culture of Learning , 1989 .

[7]  Communities as Curricula. , 2000 .

[8]  B. Zimmerman Attaining self-regulation: A social cognitive perspective. , 2000 .

[9]  Stacey Lowery Bretz Novak's Theory of Education: Human Constructivism and Meaningful Learning , 2001 .

[10]  Lori D. Oczkus,et al.  Reciprocal Teaching at Work: Strategies for Improving Reading Comprehension , 2003 .

[11]  Rufina Gutierrez Conversation Theory and Self-Learning , 2003 .

[12]  Rupert Wegerif,et al.  Thinking and Learning with ICT: Raising Achievement in Primary Classrooms , 2004 .

[13]  M. Monroe,et al.  The effects of environment‐based education on students' critical thinking skills and disposition toward critical thinking , 2004 .

[14]  George Siemens Connectivism: A Learning Theory for the Digital Age , 2004 .

[15]  M. Cole,et al.  Mind in society: The development of higher psychological processes. L. S. Vygotsky. , 1978 .

[16]  Karla M. Armbruster Place-Based Education: Connecting Classrooms and Communities , 2006 .

[17]  S. Semken,et al.  Sense of place in the practice and assessment of place‐based science teaching , 2008 .

[18]  Kurt Squire,et al.  Environmental Detectives—the development of an augmented reality platform for environmental simulations , 2008 .

[19]  R. Bonney,et al.  Citizen Science: A Developing Tool for Expanding Science Knowledge and Scientific Literacy , 2009 .

[20]  Charles K. Fadel,et al.  21st Century Skills: Learning for Life in Our Times , 2009 .

[21]  H. Pashler,et al.  Recent Research on Human Learning Challenges Conventional Instructional Strategies , 2010 .

[22]  S. Järvelä,et al.  Self-Regulated, Co-Regulated, and Socially Shared Regulation of Learning , 2011 .

[23]  Jennifer L. Momsen,et al.  What We Say is Not What We Do: Effective Evaluation of Faculty Professional Development Programs , 2011 .

[24]  Fabiane Barreto Vavassori Benitti,et al.  Exploring the educational potential of robotics in schools: A systematic review , 2012, Comput. Educ..

[25]  T. Anderson,et al.  Design-Based Research , 2012 .

[26]  Elizabeth S. Kim,et al.  Social Robots as Embedded Reinforcers of Social Behavior in Children with Autism , 2012, Journal of Autism and Developmental Disorders.

[27]  Jyh-Chong Liang,et al.  Current status, opportunities and challenges of augmented reality in education , 2013, Comput. Educ..

[28]  Kris D. Gutiérrez,et al.  Connected Learning: An Agenda for Research and Design , 2013 .

[29]  P. Kirschner,et al.  Do Learners Really Know Best? Urban Legends in Education , 2013 .

[30]  Jason M. Harley,et al.  Using Trace Data to Examine the Complex Roles of Cognitive, Metacognitive, and Emotional Self-Regulatory Processes During Learning with Multi-agent Systems , 2013 .

[31]  Catherine J. Stevens,et al.  A review of the applicability of robots in education , 2013 .

[32]  R. Heshmat,et al.  Teach back and pictorial image educational strategies on knowledge about diabetes and medication/dietary adherence among low health literate patients with type 2 diabetes. , 2013, Primary care diabetes.

[33]  Eileen Scanlon,et al.  Informal Participation in Science in the UK: Identification, Location and Mobility with iSpot , 2014, J. Educ. Technol. Soc..

[34]  K. Sandvik,et al.  The Rise of the Humanitarian Drone: Giving Content to an Emerging Concept , 2014 .

[35]  Glyn Thomas,et al.  Best Practice in Outdoor Environmental Education Fieldwork , 2015 .

[36]  Dirk T. Tempelaar,et al.  In search for the most informative data for feedback generation: Learning analytics in a data-rich context , 2015, Comput. Hum. Behav..

[37]  Elena Ospennikova,et al.  Educational Robotics as an Inovative Educational Technology , 2015 .

[38]  Eileen Scanlon,et al.  Mobile Incidental Learning to Support the Inclusion of Recent Immigrants , 2015 .

[39]  Jon Rosewell,et al.  Crowdsourcing the identification of organisms: A case-study of iSpot , 2015, ZooKeys.

[40]  Nicola Palmer Re-imagining heritage interpretation: enchanting the past-future , 2015 .

[41]  B. Madden Pedagogical pathways for Indigenous education with/in teacher education , 2015 .

[42]  Cynthia Breazeal,et al.  The Interplay of Robot Language Level with Children's Language Learning during Storytelling , 2015, HRI.

[43]  R. Azevedo,et al.  Self-Regulated Learning Processes Vary as a Function of Epistemic Beliefs and Contexts: Mixed Method Evidence from Eye Tracking and Concurrent and Retrospective Reports , 2016 .

[44]  S. Järvelä,et al.  Third wave of measurement in the self-regulated learning field: when measurement and intervention come hand in hand , 2016 .

[45]  Rebecca Ferguson,et al.  Innovating Pedagogy 2016: Open University Innovation Report 5 , 2016 .

[46]  Eleni Mangina,et al.  Drones for live streaming of visuals for people with limited mobility , 2016, 2016 22nd International Conference on Virtual System & Multimedia (VSMM).

[47]  D. Roy,et al.  Patterns of contribution to citizen science biodiversity projects increase understanding of volunteers’ recording behaviour , 2016, Scientific Reports.

[48]  R. Clark,et al.  The effectiveness of the teach‐back method on adherence and self‐management in health education for people with chronic disease: a systematic review , 2016, JBI database of systematic reviews and implementation reports.

[49]  Christothea Herodotou,et al.  2 Implementing Randomised Control Trials in Open and Distance Learning : A Feasibility Study , 2019 .

[50]  Dianne M. Miller,et al.  Progressive Pedagogies and Teacher Education: A Review of the Literature , 2017 .

[51]  Rebecca Ferguson,et al.  Where is the evidence?: a call to action for learning analytics , 2017, LAK.

[52]  M. Sharples,et al.  Design processes of a citizen inquiry community , 2017 .

[53]  P. Newton,et al.  Evidence-Based Higher Education – Is the Learning Styles ‘Myth’ Important? , 2017, Front. Psychol..

[54]  Angela L. Duckworth,et al.  Advanced, Analytic, Automated (AAA) Measurement of Engagement During Learning , 2017, Educational psychologist.

[55]  M. Gaved,et al.  Fitting in Versus Learning: A Challenge for Migrants Learning Languages Using Smartphones , 2017 .

[56]  Ronny Scherer,et al.  Editorial to the special issue: Current innovations in computer-based assessments , 2017, Comput. Hum. Behav..

[57]  Maren Scheffel,et al.  Widget, Widget on the Wall, Am I Performing Well at All? , 2017, IEEE Transactions on Learning Technologies.

[58]  Glyn Thomas,et al.  Innovative outdoor fieldwork pedagogies in the higher education sector: Optimising the use of technology , 2017 .

[59]  H. Ballard,et al.  Youth-focused citizen science: Examining the role of environmental science learning and agency for conservation , 2017 .

[60]  M. Sharples,et al.  Introducing citizen inquiry , 2017 .

[61]  H. Milner Where's the Race in Culturally Relevant Pedagogy?. , 2017 .

[62]  F. Sattar,et al.  Droning the Pedagogy: Future Prospect of Teaching and Learning , 2017 .

[63]  Catherine Jordan,et al.  Learning through place: Evaluation of a professional development program for understanding the impact of place-based education and teacher continuing education needs , 2017 .

[64]  R. Kays,et al.  Citizen Science in Schools: Students Collect Valuable Mammal Data for Science, Conservation, and Community Engagement , 2018, BioScience.

[65]  Dirk T. Tempelaar,et al.  Student profiling in a dispositional learning analytics application using formative assessment , 2018, Comput. Hum. Behav..

[66]  V. Curtis Online Citizen Science and the Widening of Academia , 2018 .

[67]  K. Howells The future of education and skills: education 2030: the future we want , 2018 .

[68]  Manu E. Saunders,et al.  Citizen science in schools: Engaging students in research on urban habitat for pollinators , 2018 .

[69]  Christothea Herodotou,et al.  Designing citizen science tools for learning : lessons learnt from the iterative development of nQuire Journal Item , 2018 .

[70]  Judy Kay,et al.  Open learner models and learning analytics dashboards: a systematic review , 2018, LAK.

[71]  J. Kanero,et al.  Social robots for early language learning: Current evidence and future directionsijdschrift Approachvan dencal practice: A pilot study.uali , 2018 .

[72]  Niels Martin,et al.  Affordances and limitations of learning analytics for computer-assisted language learning: a case study of the VITAL project , 2018 .

[73]  R. Mitchell,et al.  Experts warn play time is ‘disappearing’ as emphasis is placed on performance and tests , 2018 .

[74]  Abelardo Pardo,et al.  From Study Tactics to Learning Strategies: An Analytical Method for Extracting Interpretable Representations , 2019, IEEE Transactions on Learning Technologies.

[75]  Incidental learning , 2019, Practical Pedagogy.

[76]  P. McAndrew,et al.  Innovating Pedagogy 2019: Open University Innovation Report 7 , 2019 .

[77]  Bart Rienties,et al.  Predictive Learning Analytics 'At Scale': Guidelines to Successful Implementation in Higher Education , 2019, J. Learn. Anal..