Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Citation (2020), "Name Index", Sengupta, E., Blessinger, P. and Makhanya, M.S. (Ed.) International Perspectives on the Role of Technology in Humanizing Higher Education (Innovations in Higher Education Teaching and Learning, Vol. 33), Emerald Publishing Limited, Bingley, pp. 153-158. https://doi.org/10.1108/S2055-364120200000033009 Publisher: Emerald Publishing Limited Copyright © 2021 Emerald Publishing Limited INDEX Note: Page numbers followed “n” indicate endnotes. Abrams, G.D., 16 Aho, A.M., 91, 92, 101 ÅKerlind, G.S., 93 Al-Freih, M., 135, 136 Allen, M. Ally, M., 7, 119, 120 Alsop, E., 72 Amerian, M., 138, 144 American Heritage Dictionary, 133, 134 Anderson, G., 140 Anderson, J., 34 Anderson, R., 51 Anderson, T., 15, 135 Annan, N.K., 7 Aoun, J. E., 5 Archer, W., 8, 13, 14, 15, 135 Archibald, R. B., 79 Arksey, H., 139 Asher, J. J., 136 Asimov, I., 44 Atiaja, L. A., 136 Atkinson, R. D., 4 Azarfam, A.A.Y., 39 Baggen, Y., 94 Bailenson, J., 16 Bain, 107 Baird, D. Baird, D. E., 10, 105, 111, 112, 126 Bandura, A., 99 Barnes & Noble., 109 Barnett, R., 106 Bartoletti, R., 106–107 Baskara, F. X. R., 137 Batzli, J., 16 Bazan, B., 50, 51, 54, 55 Beggs, T. A., 17 Behling, K.T., 17 Beisner, G. S., 72 Bengtsen, S. S., 106–107 Berg, B. L., 25 Bervell, B., 91, 92, 101 Bidjerano, T., 15 Blessinger, P., 3, 4, 7 Borden, J. D., 72, 80, 81 Borup, J., 16, 17 Bossert, O., 106 Boyd, D., 74, 80 Boyles, J.L., 38 Brown, H.D., 132, 136 Brown, P. C., 75 Brown, S., 137, 145 Bruni, F., 76 Buber, M., 39 Buchman, S. Byfield, T., 59 Caboni, T. C., 14 Campbell, M., 37 Carpenter, J. Carr, D., 53 Cascaval, R.C., 16 Casey, M.A., 139 Cates, K. A., 132, 143 Chase, C.C., 45 Chickering, A. W., 14, 93, 102 Chin, D.B., 45 Ching, C., 110 Chong, C. S., 132, 143 Christie, B., 15–16 Clarke, M., 37, 54 Clegg, S., 91, 92, 101 Cline, W. D., 136 College Atlas., 70 Confucius., 36 Connley, C., 70 Corbin, J.M., 95 Creswell, J. W., 25, 95 Crews, J., 108 Czerkawski, B. C., 135 Dahya, N., 7 Dale, J., 134 Davis, G., 94, 101, 102 Denscombe, M., 139 Deogracias, A., 74 Depenbrock, J. DeWaard, H., 14 Dewey, J., 46 Dilshad, R. M., 140 Dobre, I., 14 dos Santos, L.M.R., 92, 101 Duckworth, A., 72 Duesterhaus, M. B., 14 Duff, P., 25 Duffy, E., 70 Dündar, H., 91 Dunlop, C., 90 Dunne, J., 59 Dunwill, E., 6 Durden, T., 72, 73 Durham, R.L., 16 Dutton, V. F., 135 Dweck, C., 72, 74 Educause, 16 Edwards, A., 35 Edwards, C., 35 Edwards, H., 101 Ehrmann, S.C., 93, 102 Ezzy, D., 140 Facer, K. Fahim, M., 138, 144 Fan, S., 37–38, 44 Felix, U., 137 Fines, B. G., 132 Finkelstein, S., 119 Fisher, M., 10, 105 Fisk, P., 5, 6 Fogler, K.A., 16 Forcier, L.B., 37 Francisco, D. M., 137 Franke, M., 110 Frankfurt, H.B., 46n8 Freire, P., 14, 132 134, 144 Frey, T. Friedman, T., 79 Fullan, M., 90 Furlonger, B., 119 Gamson, Z. F., 14 Gardiner, B. Garrison, D. R., 8, 14, 15 Garrison, D., 135 Geertshuis, S., 91, 92, 101, 102 Gentner, F. C., 72 Gibson, L., 90 Gomes de Matos, F., 132 Gosselin, K.P., 93 Gozza-Cohen, M., 15 Graham, C. R., 16 Grant, A., 70 Griffiths, M., 37 Grootenboer, P., 40 Guilherme, A., 35, 39, 46n5 Guo, P. J., 17 Guri-Rozenblit, S., 91 Gutek, G., 53, 54 Gutting, G., 4 Habermas, J., 9, 49, 50, 58 Hall, G., 59 Hamidi, H., 136 Hao, K., 119 Hayes, S., 15 Hegel, G., 51 Henderson, D. Hibbert, M., 16 Hides, S., 59 Hilgard, E. Hilgard, E. R., 71, 74 Hoane, Jr., A.J., 37 Hobbes, T., 40 Hohendahl, P., 56 Holmes, W., 37 Horn, M.B., 106 Howell, E., 16 Hsu, F. H., 37 Huberman, M., 95, 140 Hughes, G. D., 17 Huitt, W., 72 Human Connectome Project., 75 Humboldt, W., 9, 49, 51 Hunter, T. Hussain, F., 6 Hussin, A.A., 6 Hyslop-Margison, E. J., 134 Ignatovitch, A., 5, 132, 136 Iowa Community College Online Consortium., 80 Ismailova, R., 91 Jabbari, Y., 39 Jaggars, S. S., 14, 30 Jaspers, K., 51, 56, 58 Jawaharlal, M., 70 JISC, 80 John Medina., 75, 77, 78 Johnson, A., 41 Johnson, N., 71 Jooneghani, R. B., 137 Kafai, Y. B., 110 Kahneman, D., 46n7 Kapp, K., 78 Khatib, M., 136 Khokhar, T., 110 Kilgore, W., 135, 136, 144 Kilgour, P., 93, 101 Kim, J., 17 Kirp, D. Kirschenbaum, H., 133, 134, 144 Kitzinger, J., 139 Klaff, O., 75, 78 Kleine, D., 7 Klobas, J. E., 14 Konrad, J., 91 Konradsen, H., 139 Kopcha, T. J., 17 Kretzberg, A., 106 Kristjánsson, K., 46n3 Kueger, R.A., 139 Kukulska-Hulme, A., 136 Kwiek, M., 50 Kyzy, Z.N., 91, 94, 102 Laal, M., 144 Laartz, J., 106 LaBarbera, R. Lambert, S. R., 135 Lamont, C., 133 Land, R., 93 Lase, D., 4, 6 Latif, M. I., 140 Latour, B., 7 Lederman, D., 4, 70 Lee, L., 136 LeeKeenan, K., 138, 144 Lei, Q., 134 Lenartowicz, M., 50, 55 Leuven Communiqué, 90 Levinas, E., 42 Lin, X., 35 Liu, Q., 91, 92, 101, 102 Liu, Y., 138 Locke, J., 40 Lojova, G., 137 Lowenthal, P. R., 14, 16 Lubin, L. Luckin, R., 37, 38 Lynch, M., 4 Lyotard, J-F., 51, 58, 59 Lysgaard, J. A. MacIntyre, A., 9, 49, 50, 57, 58 Makanya, M., 4 Mamabolo, J., 91 Marcus, J., 73 Marklein, M., 70 Marrou, H., 53 Marshall, C., 20 Marx, K., 51 Masouleh, N. S., 137 Maturana, H., 44 Mayer, R.E., 17 McDaniel, M. A., 75 McGill, T. J., 14 McKay, J., 17 McKeachie, W.J., 36, 41, 45 Mckenzie, L., 71 McKinsey, 4, 82 McLeod, S., 84 McLoughlin, C., 93 McMutrie, B., 70 Medina, J., 75, 77, 78 Mehrabian, A., 16 Mehta, R., 15 Merleau-Ponty, M., 42 Merriam, S., 25 Meyer, J.H.F., 93 Mihaly Csikszentmihalyi., 78 Miles, M., 95, 140 Militello, L. G., 72 Miller, S., 16 Milliron, M., 70, 74 Mills, D. Mohammad, J., 7 Mohammed, S., 7 Molenda, M., 35 Molnar, M. Morgan, D.L., 95, 139 Moskowitz, G., 133, 136, 144 Mundy, M. E., 14 Murphy, D., 91 Nadworny, E. National Center for Education Statistics (NCES), 109 Nazari, O., 132 Nesbit, T., 90 Netanda, R.S., 91, 93, 101, 102 New Media Consortium. 79 Newman, J., 9, 49, 51, 62 Newton, J., 91, 101 Ngo, L., 17 Northcote, M., 93 Not Your Average Student, 82 Nussbaum, M., 43 Oakeshott, M., 51, 56, 59, 62 Ofori-Dwumfou, G., 7 Oh, C., 16 Okazaki, S., 92, 101 O’Keefe, P. D., 74 Oliver, M., 91, 101 O’Mahony, K., 74, 75, 76, 77 Ong, W., 53, 54 Oppezzo, M.A., 45 Osiceanu, M.E., 6 Østergaard, B., 139 Palmer, P.J., 34, 45, 134 Pankau, J., 73 Papadiamantaki, Y., 103 Parker, P., 45 Persselin, L. E., 135 Pham, L. Phelps, E., 118 Piaget, J., 46n10 Pico della Mirandola, G., 51 Pizer, T., 108 Plato, 36, 43, 51, 53 Pogge, T., 46n8 Prensky, M. Price, M., 108 Prior, P., 20 Proenza, R. G., 136 Prunuske, A.J., 16 Quantz, R. A., 6 Quinn, C. N. Raftree, L., 7 Rainie, L., 34, 35, 38, 45n2 Rangan, P., 15 Rangel-Gomez, M. Readings, B., 50, 56 Reason, J., 46n7 Reshef, S., 7 Reynaud, D., 93 Rezabek, L., 35 Rice, P. L., 140 Rieber, L. P., 17 Rivers, W., 136, 144 Robinson, R., 35 Roediger, H. L., 75 Rollins, A., 108 Rose D., 62 Ross, A., 59 Rossman, G., 20 Rourke, L., 14, 15, 16, 20 Rousseau, J.J., 40 Rowan, L., 40 Rubin, R., 17 Saba, F., 91, 93, 102 Salomon, R. M., 77 Sarem, S. N., 136 Sari, H., 137 Sartre, J.P., 42 Sawyer, S., 7 Schelling, F., 51, 56 Schleiermacher, F., 9, 51, 56, 57, 59, 65 Schmandt-Besserat, D., 53 Schmidt, N., 135 Schwartz, D.L., 45 Scott, J., 55, 57 Scott, P., 59 Sengupta, E., 4, 7 Shakouri, N., 132, 137, 144 Sharkey, A.J.C., 37, 39 Sharma, U., 119 Sharp, A., 134 Shaw, C., 118 Shea, P., 15 Shih, J., 110 Shipka, J., 20 Short, J., 15–16 Shulman, R., 74, 77 Sifferlin, A., 76 Sinclair, J., 91, 92, 101 Sjoer, E., 94 Smith, J., 91, 101 Spawr, A. L., 74 Spence, P.R., 35 Spice, B. Spradley, J. P., 20 Staley, D. J., 106–107 Stallard, K. P. Stallard, M. L. Stallard, M., 73 Stamelo, Y., 103n7 Stevick, E. W., 136 Stinson, S. Strauss, A. L., 25 Strauss, A., 95 Svinicki, M., 36, 41, 45 Swindler, S. D., 72 Tan, J., 91 Tate, A., 76 Team Dynamix, 81 The Learning Network, 76 Themane, M., 91 Thomas, R., 16 Tobin, T. J., 17 Tomlinson, B., 132, 143 Torrisi, G., 94, 101–102 Tough, P., 70 Traxler, J., 7 Triventi, M. Turkle, S., 42 Tversky, A., 46n7 Ujlakyné Szücs, É., 35–36 Umar, I. N., 91–92, 101 UNESCO, 102n1 Uzuner, S., 15 Valchova, A. van der Rijst, R., 94 van der Zwaan, B., 50 van Mourik Broekman, P., 59 Vansina, J., 53 Varela, F.J., 44 Vaughan, N. D., 14–15, 17 Vickers, J., 15 Vincent, J., 46n16 Voce, J. Voltelen, B., 139 Vygotski, L., 65 Wagner, D.A., 7 Walker, B. B., 17 Walker, K., 76 Walker, M., 77 Wang, V. C., 133, 144 Washington, E., 118 Watty, K., 17 Webb, G., 91 Welch, G., 16 West, R. E., 16 Wheelan, P., 72, 73 Whitby, B., 46n14 Williams, E., 15 Williams, K., 50, 56 Witt, G. L., 111–112 Woodward, W., 55 Worthington, S., 59 Wright, G. B., 46n10 Wright, S. Wyatt, J., 51 Xu, D., 14, 30 Xu, Y., 14, 30 Yamba-Yugsi, M., 136 Yin, R. K., 25 Zak, P., 77 Zucca-Scott, L., 134–135, 144 Book Chapters Prelims Part I: Creating Humanness with Technology Chapter 1: Introduction to International Perspectives on the Role of Technology in Humanizing Higher Education Chapter 2: Socially Present? The Perception of Humanness Online Through Video Chapter 3: The Role of the Teacher and AI in Education Chapter 4: Context-Based Projects: The Possibility of an Optimistic Learning Approach in the Technologically Enabled University Chapter 5: The Science and Technology of Educational Interconnectedness Part II: Emerging Technologies in Pedagogy Chapter 6: Enhancing the Role of the Hellenic Open University as a Lifelong Learning Organisation: Crossing the Rubicon into the E-Learning Era Chapter 7: Humanizing User Experience Design Strategies with NEW Technologies: AR, VR, MR, ZOOM, ALLY and AI to Support Student Engagement and Retention in Higher Education Chapter 8: Humanization of English Language Teaching through Computer-Assisted Language Learning in Turkish Tertiary Level English Preparatory Classes About the Authors Name Index Subject Index
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it