{"id":432,"date":"2026-05-29T11:34:50","date_gmt":"2026-05-29T11:34:50","guid":{"rendered":"https:\/\/renjournal.it\/?p=432"},"modified":"2026-05-29T11:34:51","modified_gmt":"2026-05-29T11:34:51","slug":"from-workplace-to-classroom","status":"publish","type":"post","link":"https:\/\/renjournal.it\/?p=432","title":{"rendered":"From Workplace to Classroom."},"content":{"rendered":"\n<p><strong>A Mixed Method Approach to Measuring Creativity and AI-Related Dispositions.<\/strong><\/p>\n\n\n\n<p><strong>The AICREA Scale and Qualitative Analysis on SME Managers<\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Autori<\/h2>\n\n\n\n<p>Valentina&nbsp;Giordano;&nbsp;Alessia&nbsp;Gargano;&nbsp;Giuseppe&nbsp;Carci;&nbsp;Flavia&nbsp;Bonaiuto;&nbsp;Irene&nbsp;Petruccelli; Andrea&nbsp;Laudadio.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Abstract<\/h2>\n\n\n\n<p>This contribution presents a mixed method design combining the AICREA scale \u2014 a 10-item Likert instrument measuring AI-related creativity across three dimensions: Fear of Cognitive Risk (resistance to cognitive challenge posed by&nbsp;AI), Imagination (generative and associative thinking), and&nbsp;Complexity of Thought&nbsp;(tolerance&nbsp;for&nbsp;ambiguity anddivergent&nbsp;reasoning),&nbsp;validated on TIM<\/p>\n\n\n\n<p>S.p.A. employees \u2014 with semi-structured interviews with 11 SME managers, grounded in Torrance and Guilford&#8217;s constructs. Quantitative results show that prior AI use is the strongest predictor of baseline creativity, with an inverse relationship between seniority and AICREA&nbsp;scores. Qualitatively, AI emerges as an enabler of organizational creativity. Both levels converge toward direct training implications for Digital Affective Literacy, restoring to educators their role as conscious mediators between algorithmic heartbeat and the human dimension of learning.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Keywords<\/h2>\n\n\n\n<p>AI-related&nbsp;creativity;&nbsp;Mixed method&nbsp;research;&nbsp;AICREA&nbsp;scale.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Bibliografia<\/h2>\n\n\n\n<p>Amabile, T. M., &amp; Pratt, M. G. (2016). The dynamic componential model of creativity&nbsp;and innovation&nbsp;in&nbsp;organizations:Making&nbsp;progress,&nbsp;making&nbsp;meaning.&nbsp;<em>Research&nbsp;in&nbsp;Organizational Behavior<\/em>, 36, 157\u2013183.<\/p>\n\n\n\n<p>Guilford,&nbsp;J.&nbsp;P.&nbsp;(1950).&nbsp;Creativity.&nbsp;<em>American&nbsp;Psychologist<\/em>, 5(9),&nbsp;444\u2013454.<\/p>\n\n\n\n<p>Jia,&nbsp;N.,&nbsp;Luo,&nbsp;X.,&nbsp;Fang,&nbsp;Z.,&nbsp;&amp;&nbsp;Liao,&nbsp;C.&nbsp;(2024). When&nbsp;and&nbsp;how&nbsp;artificial&nbsp;intelligence&nbsp;augments employee creativity.&nbsp;<em>Academy of Management Journal<\/em>, 67(1), 5\u201332.<\/p>\n\n\n\n<p>Torrance,&nbsp;E. P.&nbsp;(1974).&nbsp;<em>Torrance&nbsp;tests&nbsp;of&nbsp;creative&nbsp;thinking<\/em>. Personnel&nbsp;Press.<\/p>\n\n\n\n<p>Woodman, R. W., Sawyer, J.&nbsp;E., &amp;&nbsp;Griffin, R. W. (1993).&nbsp;Toward&nbsp;a&nbsp;theory&nbsp;of&nbsp;organizational creativity.&nbsp;<em>Academy of Management Review<\/em>, 18(2), 293\u2013321<\/p>\n\n\n\n<p>Starting in September, the full article will be available on <a href=\"http:\/\/ojs.gsdjournal.it\/\">ojs.gsdjournal.it<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A Mixed Method Approach to Measuring Creativity and AI-Related Dispositions. The AICREA Scale and Qualitative Analysis on SME Managers Autori Valentina&nbsp;Giordano;&nbsp;Alessia&nbsp;Gargano;&nbsp;Giuseppe&nbsp;Carci;&nbsp;Flavia&nbsp;Bonaiuto;&nbsp;Irene&nbsp;Petruccelli; Andrea&nbsp;Laudadio. Abstract This contribution&#8230;<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"iawp_total_views":3,"footnotes":""},"categories":[1],"tags":[47,67,40,68,24,41],"ppma_author":[50],"class_list":["post-432","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-bisogni-speciali","tag-didattica","tag-docente","tag-educazione-affettiva","tag-intelligenza-artificiale","tag-studente","entry"],"authors":[{"term_id":50,"user_id":4,"is_guest":0,"slug":"redazione","display_name":"redazione","avatar_url":"https:\/\/secure.gravatar.com\/avatar\/7a3ff9053a8e91fd8c4b871050298c2c39a34eb571e5f05b8ab09edabe66e2ff?s=96&d=mm&r=g","author_category":"","first_name":"","last_name":"","user_url":"","job_title":"","description":""}],"_links":{"self":[{"href":"https:\/\/renjournal.it\/index.php?rest_route=\/wp\/v2\/posts\/432","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/renjournal.it\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/renjournal.it\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/renjournal.it\/index.php?rest_route=\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/renjournal.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=432"}],"version-history":[{"count":1,"href":"https:\/\/renjournal.it\/index.php?rest_route=\/wp\/v2\/posts\/432\/revisions"}],"predecessor-version":[{"id":433,"href":"https:\/\/renjournal.it\/index.php?rest_route=\/wp\/v2\/posts\/432\/revisions\/433"}],"wp:attachment":[{"href":"https:\/\/renjournal.it\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=432"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/renjournal.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=432"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/renjournal.it\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=432"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/renjournal.it\/index.php?rest_route=%2Fwp%2Fv2%2Fppma_author&post=432"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}