{"id":121,"date":"2026-07-30T19:35:24","date_gmt":"2026-07-30T19:35:24","guid":{"rendered":"https:\/\/pressbooks.ulib.csuohio.edu\/usingaiinacademics\/?post_type=chapter&#038;p=121"},"modified":"2026-08-14T21:35:20","modified_gmt":"2026-08-14T21:35:20","slug":"practical-teaching-applications-strategies","status":"publish","type":"chapter","link":"https:\/\/pressbooks.ulib.csuohio.edu\/usingaiinacademics\/chapter\/practical-teaching-applications-strategies\/","title":{"rendered":"Practical Teaching Applications &amp; Strategies: AI\/Human Paradigm"},"content":{"raw":"In higher education course development, the AI\/Human Paradigm frames AI as a course design partner: a cognitive collaborator rather than an autonomous designer, with the human educator remaining the instructional leader. This perspective aligns with emerging research on AI-human collaboration in education and design, which views AI as a complementary partner while preserving human responsibility for pedagogical decisions.\r\n<h1>The AI-Human\u00a0Course\u00a0Design Partnership Model<\/h1>\r\nAI\u00a0supports\u00a0human\u00a0course designers\u00a0by\u00a0quickly producing\u00a0syllabus\u00a0structures, proposing a range of\u00a0assessment options, and\u00a0adapting\u00a0content into\u00a0multiple\u00a0formats.\u00a0However, the\u00a0educator remains the\u00a0primary decision-maker, responsible for\u00a0selecting and refining materials, verifying\u00a0accuracy, and\u00a0adding\u00a0empathy,\u00a0narrative context, and cultural relevance that technology cannot\u00a0fully provide.\u00a0This\u00a0collaborative cycle helps educators reduce repetitive administrative work so they can devote more attention to strategic pedagogy and meaningful student mentorship.\r\n<h2>AI Responsibilities<\/h2>\r\nAnswer following questions to identify AI responsibilities: What does AI do best?\u00a0What possibilities should we consider? What alternatives exist? \u00a0How can work be accelerated?\r\n\r\nAI serves as an intelligent design assistant by helping to:\r\n<ul>\r\n \t<li>Generate instructional ideas<\/li>\r\n<\/ul>\r\n<ul>\r\n \t<li>Create drafts of learning materials<\/li>\r\n<\/ul>\r\n<ul>\r\n \t<li>Suggest learning activities<\/li>\r\n<\/ul>\r\n<ul>\r\n \t<li>Produce assessment questions<\/li>\r\n<\/ul>\r\n<ul>\r\n \t<li>Generate case studies and scenarios<\/li>\r\n<\/ul>\r\n<ul>\r\n \t<li>Align content with Bloom\u2019s Taxonomy<\/li>\r\n<\/ul>\r\n<ul>\r\n \t<li>Identify gaps or redundancies<\/li>\r\n \t<li>Rapid prototype instructional resources<\/li>\r\n<\/ul>\r\n<h2>Human Responsibilities<\/h2>\r\nAnswer following questions to identify human responsibilities: What do\u00a0humans\u00a0do\u00a0best? What\u00a0should students learn? Why does it matter? How will learning be evaluated?\r\n\r\nThe instructor or instructional designer retains ownership of:\r\n<ul>\r\n \t<li>Learning outcomes<\/li>\r\n<\/ul>\r\n<ul>\r\n \t<li>Curriculum alignment<\/li>\r\n<\/ul>\r\n<ul>\r\n \t<li>Pedagogical philosophy<\/li>\r\n<\/ul>\r\n<ul>\r\n \t<li>Assessment validity<\/li>\r\n<\/ul>\r\n<ul>\r\n \t<li>Ethical considerations<\/li>\r\n<\/ul>\r\n<ul>\r\n \t<li>Student engagement strategies<\/li>\r\n<\/ul>\r\n<ul>\r\n \t<li>Equity, inclusion, and accessibility\u00a0decisions<\/li>\r\n \t<li>Final quality assurance<\/li>\r\n<\/ul>\r\n<h2>Five Roles of AI\u00a0with\u00a0Educator\u00a0in Course Design<\/h2>\r\nAs Research Assistant:\u00a0AI accelerates the preparation phase of course design by\u00a0finding information, summarizing literature, and organizing case studies.\u00a0 The human\u00a0educator provides the critical lens, checking for bias, accuracy, and depth.\r\n\r\n<em>Examples:\u00a0summarize emerging trends, generate literature review starting points, identify industry\u00a0skills\u00a0, suggest current examples\u00a0<\/em>\r\n\r\nAs Instructional Designer:\u00a0AI applies instructional design theories such as Backward\u00a0Design, rapidly map out course structures,\u00a0write learning objectives, and align assessments.\u00a0 The human educator\u00a0provides the essential guardrails, ensuring the learning experience is pedagogically sound, inclusive,\u00a0and tailored to real human students.\r\n\r\n<em>Examples:\u00a0draft learning objectives, map objectives to assessments, suggest active-learning activities, create module structures\u00a0<\/em>\r\n\r\nAs Content Developer:\u00a0AI\u00a0operates as a high-speed content factory and multi-media draft\u00a0generator, which\u00a0AI changes the speed of content creation by instantly turning raw lesson\u00a0plans into scripts, reading materials, slide outlines, and interactive quiz draft.\u00a0 The human educator serves as the chief editor and creative director,\u00a0so\u00a0they\u00a0are responsible for refining the tone, adding real world wisdom, and ensuring all generated content is accurate and free from bias or errors.\r\n\r\n<em>Examples:\u00a0lecture outlines, discussion prompts, reading guides, lab activities\u00a0<\/em>\r\n\r\nAs Assessment Partner:\u00a0AI operates as an automated testing\u00a0engineer and diagnostic scanner.\u00a0 AI changes the speed of assessment design by instantly generating diverse quiz banks, drafting\u00a0complex grading rubrics, and designing problem-solving scenarios mapped to specific learning targets.\u00a0 The human educator serves as the master evaluator and ethical compass.\u00a0 Moreover,\u00a0they are responsible for auditing tests\u00a0for hidden biases, scoring complex subjective work, and defining the true standard of mastery.\r\n\r\n<em>Examples:\u00a0\u00a0quiz questions, case-based exercises, rubric, scenario development\u00a0<\/em>\r\n\r\nAs Reflective Critic: AI operates as a\u00a0tireless devil\u2019s advocate and blind-spot\u00a0scanner.\u00a0\u00a0AI serves\u00a0as an objective reviewer that evaluates an existing course design to identify logical gaps,\u00a0predict\u00a0student hurdles, and challenge pedagogical assumptions before the course goes live.\u00a0 The\u00a0human educator\u00a0serves as the cultural anchor and definitive decision-maker.\u00a0 Moreover,\u00a0they interpret the AI\u2019s critique,\u00a0separate valuable insights from generic feedback, and choose how to refine the curriculum.\r\n\r\n<em>Examples:\u00a0identify gaps in curriculum, challenge assumptions, suggest alternative approaches, evaluate alignment\u00a0<\/em>\r\n<h2>A Decision Matrix for\u00a0AI\/Human Course Design<\/h2>\r\n<table style=\"height: 572px\">\r\n<tbody>\r\n<tr style=\"height: 52px\">\r\n<td style=\"height: 52px;width: 210.094px\"><strong>Course Design Task\u00a0<\/strong><\/td>\r\n<td style=\"height: 52px;width: 117.375px\"><strong>Human Leads\u00a0<\/strong><\/td>\r\n<td style=\"height: 52px;width: 83.25px\"><strong>AI Assists\u00a0<\/strong><\/td>\r\n<\/tr>\r\n<tr style=\"height: 52px\">\r\n<td style=\"height: 52px;width: 210.094px\">Program outcomes<\/td>\r\n<td style=\"height: 52px;width: 117.375px\">\u221a<\/td>\r\n<td style=\"height: 52px;width: 83.25px\"><\/td>\r\n<\/tr>\r\n<tr style=\"height: 52px\">\r\n<td style=\"height: 52px;width: 210.094px\">Learning objectives<\/td>\r\n<td style=\"height: 52px;width: 117.375px\">\u221a<\/td>\r\n<td style=\"height: 52px;width: 83.25px\">\u221a<\/td>\r\n<\/tr>\r\n<tr style=\"height: 52px\">\r\n<td style=\"height: 52px;width: 210.094px\">Content sequencing<\/td>\r\n<td style=\"height: 52px;width: 117.375px\">\u221a<\/td>\r\n<td style=\"height: 52px;width: 83.25px\">\u221a<\/td>\r\n<\/tr>\r\n<tr style=\"height: 52px\">\r\n<td style=\"height: 52px;width: 210.094px\">Lecture drafts<\/td>\r\n<td style=\"height: 52px;width: 117.375px\"><\/td>\r\n<td style=\"height: 52px;width: 83.25px\">\u221a<\/td>\r\n<\/tr>\r\n<tr style=\"height: 52px\">\r\n<td style=\"height: 52px;width: 210.094px\">Example generation<\/td>\r\n<td style=\"height: 52px;width: 117.375px\"><\/td>\r\n<td style=\"height: 52px;width: 83.25px\">\u221a<\/td>\r\n<\/tr>\r\n<tr style=\"height: 52px\">\r\n<td style=\"height: 52px;width: 210.094px\">Assessment generation<\/td>\r\n<td style=\"height: 52px;width: 117.375px\"><\/td>\r\n<td style=\"height: 52px;width: 83.25px\">\u221a<\/td>\r\n<\/tr>\r\n<tr style=\"height: 52px\">\r\n<td style=\"height: 52px;width: 210.094px\">Assessment approval<\/td>\r\n<td style=\"height: 52px;width: 117.375px\">\u221a<\/td>\r\n<td style=\"height: 52px;width: 83.25px\"><\/td>\r\n<\/tr>\r\n<tr style=\"height: 52px\">\r\n<td style=\"height: 52px;width: 210.094px\">Accessibility review<\/td>\r\n<td style=\"height: 52px;width: 117.375px\">\u221a<\/td>\r\n<td style=\"height: 52px;width: 83.25px\">\u221a<\/td>\r\n<\/tr>\r\n<tr style=\"height: 52px\">\r\n<td style=\"height: 52px;width: 210.094px\">Quality assurance<\/td>\r\n<td style=\"height: 52px;width: 117.375px\">\u221a<\/td>\r\n<td style=\"height: 52px;width: 83.25px\"><\/td>\r\n<\/tr>\r\n<tr style=\"height: 52px\">\r\n<td style=\"height: 52px;width: 210.094px\">Academic integrity policies<\/td>\r\n<td style=\"height: 52px;width: 117.375px\">\u221a<\/td>\r\n<td style=\"height: 52px;width: 83.25px\"><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\nThe participation role in each course design task for humans and AI.\r\n<h2>The Guiding Principles\u00a0to use AI as a Course Design Partner<\/h2>\r\nThe fundamental guiding\u00a0principle\u00a0is pedagogical intentionality driven by human-in-the-loop\u00a0orchestration.\u00a0\u00a0Technology must never dictate\u00a0the learning path; instead, the human educator defines the core vision, learning goals, and emotional framework of\u00a0the course.\u00a0 AI serves strictly as an accelerant to scale content, draft structural assets, and analyze data.\r\n\r\nTo use this principle, designers must apply rigorous human oversight at every step of the development loop.\u00a0 This active involvement ensures that all automated outputs undergo deep evaluation for academic accuracy,\u00a0data privacy, structural alignment, and cultural\u00a0inclusivity.\u00a0 The human educator should be\u00a0the final gatekeeper, the partnership leverages machine efficiency while preserving the\u00a0unique voice,\u00a0professional judgment, and empathy necessary\u00a0to\u00a0inspire student success.","rendered":"<p>In higher education course development, the AI\/Human Paradigm frames AI as a course design partner: a cognitive collaborator rather than an autonomous designer, with the human educator remaining the instructional leader. This perspective aligns with emerging research on AI-human collaboration in education and design, which views AI as a complementary partner while preserving human responsibility for pedagogical decisions.<\/p>\n<h1>The AI-Human\u00a0Course\u00a0Design Partnership Model<\/h1>\n<p>AI\u00a0supports\u00a0human\u00a0course designers\u00a0by\u00a0quickly producing\u00a0syllabus\u00a0structures, proposing a range of\u00a0assessment options, and\u00a0adapting\u00a0content into\u00a0multiple\u00a0formats.\u00a0However, the\u00a0educator remains the\u00a0primary decision-maker, responsible for\u00a0selecting and refining materials, verifying\u00a0accuracy, and\u00a0adding\u00a0empathy,\u00a0narrative context, and cultural relevance that technology cannot\u00a0fully provide.\u00a0This\u00a0collaborative cycle helps educators reduce repetitive administrative work so they can devote more attention to strategic pedagogy and meaningful student mentorship.<\/p>\n<h2>AI Responsibilities<\/h2>\n<p>Answer following questions to identify AI responsibilities: What does AI do best?\u00a0What possibilities should we consider? What alternatives exist? \u00a0How can work be accelerated?<\/p>\n<p>AI serves as an intelligent design assistant by helping to:<\/p>\n<ul>\n<li>Generate instructional ideas<\/li>\n<\/ul>\n<ul>\n<li>Create drafts of learning materials<\/li>\n<\/ul>\n<ul>\n<li>Suggest learning activities<\/li>\n<\/ul>\n<ul>\n<li>Produce assessment questions<\/li>\n<\/ul>\n<ul>\n<li>Generate case studies and scenarios<\/li>\n<\/ul>\n<ul>\n<li>Align content with Bloom\u2019s Taxonomy<\/li>\n<\/ul>\n<ul>\n<li>Identify gaps or redundancies<\/li>\n<li>Rapid prototype instructional resources<\/li>\n<\/ul>\n<h2>Human Responsibilities<\/h2>\n<p>Answer following questions to identify human responsibilities: What do\u00a0humans\u00a0do\u00a0best? What\u00a0should students learn? Why does it matter? How will learning be evaluated?<\/p>\n<p>The instructor or instructional designer retains ownership of:<\/p>\n<ul>\n<li>Learning outcomes<\/li>\n<\/ul>\n<ul>\n<li>Curriculum alignment<\/li>\n<\/ul>\n<ul>\n<li>Pedagogical philosophy<\/li>\n<\/ul>\n<ul>\n<li>Assessment validity<\/li>\n<\/ul>\n<ul>\n<li>Ethical considerations<\/li>\n<\/ul>\n<ul>\n<li>Student engagement strategies<\/li>\n<\/ul>\n<ul>\n<li>Equity, inclusion, and accessibility\u00a0decisions<\/li>\n<li>Final quality assurance<\/li>\n<\/ul>\n<h2>Five Roles of AI\u00a0with\u00a0Educator\u00a0in Course Design<\/h2>\n<p>As Research Assistant:\u00a0AI accelerates the preparation phase of course design by\u00a0finding information, summarizing literature, and organizing case studies.\u00a0 The human\u00a0educator provides the critical lens, checking for bias, accuracy, and depth.<\/p>\n<p><em>Examples:\u00a0summarize emerging trends, generate literature review starting points, identify industry\u00a0skills\u00a0, suggest current examples\u00a0<\/em><\/p>\n<p>As Instructional Designer:\u00a0AI applies instructional design theories such as Backward\u00a0Design, rapidly map out course structures,\u00a0write learning objectives, and align assessments.\u00a0 The human educator\u00a0provides the essential guardrails, ensuring the learning experience is pedagogically sound, inclusive,\u00a0and tailored to real human students.<\/p>\n<p><em>Examples:\u00a0draft learning objectives, map objectives to assessments, suggest active-learning activities, create module structures\u00a0<\/em><\/p>\n<p>As Content Developer:\u00a0AI\u00a0operates as a high-speed content factory and multi-media draft\u00a0generator, which\u00a0AI changes the speed of content creation by instantly turning raw lesson\u00a0plans into scripts, reading materials, slide outlines, and interactive quiz draft.\u00a0 The human educator serves as the chief editor and creative director,\u00a0so\u00a0they\u00a0are responsible for refining the tone, adding real world wisdom, and ensuring all generated content is accurate and free from bias or errors.<\/p>\n<p><em>Examples:\u00a0lecture outlines, discussion prompts, reading guides, lab activities\u00a0<\/em><\/p>\n<p>As Assessment Partner:\u00a0AI operates as an automated testing\u00a0engineer and diagnostic scanner.\u00a0 AI changes the speed of assessment design by instantly generating diverse quiz banks, drafting\u00a0complex grading rubrics, and designing problem-solving scenarios mapped to specific learning targets.\u00a0 The human educator serves as the master evaluator and ethical compass.\u00a0 Moreover,\u00a0they are responsible for auditing tests\u00a0for hidden biases, scoring complex subjective work, and defining the true standard of mastery.<\/p>\n<p><em>Examples:\u00a0\u00a0quiz questions, case-based exercises, rubric, scenario development\u00a0<\/em><\/p>\n<p>As Reflective Critic: AI operates as a\u00a0tireless devil\u2019s advocate and blind-spot\u00a0scanner.\u00a0\u00a0AI serves\u00a0as an objective reviewer that evaluates an existing course design to identify logical gaps,\u00a0predict\u00a0student hurdles, and challenge pedagogical assumptions before the course goes live.\u00a0 The\u00a0human educator\u00a0serves as the cultural anchor and definitive decision-maker.\u00a0 Moreover,\u00a0they interpret the AI\u2019s critique,\u00a0separate valuable insights from generic feedback, and choose how to refine the curriculum.<\/p>\n<p><em>Examples:\u00a0identify gaps in curriculum, challenge assumptions, suggest alternative approaches, evaluate alignment\u00a0<\/em><\/p>\n<h2>A Decision Matrix for\u00a0AI\/Human Course Design<\/h2>\n<table style=\"height: 572px\">\n<tbody>\n<tr style=\"height: 52px\">\n<td style=\"height: 52px;width: 210.094px\"><strong>Course Design Task\u00a0<\/strong><\/td>\n<td style=\"height: 52px;width: 117.375px\"><strong>Human Leads\u00a0<\/strong><\/td>\n<td style=\"height: 52px;width: 83.25px\"><strong>AI Assists\u00a0<\/strong><\/td>\n<\/tr>\n<tr style=\"height: 52px\">\n<td style=\"height: 52px;width: 210.094px\">Program outcomes<\/td>\n<td style=\"height: 52px;width: 117.375px\">\u221a<\/td>\n<td style=\"height: 52px;width: 83.25px\"><\/td>\n<\/tr>\n<tr style=\"height: 52px\">\n<td style=\"height: 52px;width: 210.094px\">Learning objectives<\/td>\n<td style=\"height: 52px;width: 117.375px\">\u221a<\/td>\n<td style=\"height: 52px;width: 83.25px\">\u221a<\/td>\n<\/tr>\n<tr style=\"height: 52px\">\n<td style=\"height: 52px;width: 210.094px\">Content sequencing<\/td>\n<td style=\"height: 52px;width: 117.375px\">\u221a<\/td>\n<td style=\"height: 52px;width: 83.25px\">\u221a<\/td>\n<\/tr>\n<tr style=\"height: 52px\">\n<td style=\"height: 52px;width: 210.094px\">Lecture drafts<\/td>\n<td style=\"height: 52px;width: 117.375px\"><\/td>\n<td style=\"height: 52px;width: 83.25px\">\u221a<\/td>\n<\/tr>\n<tr style=\"height: 52px\">\n<td style=\"height: 52px;width: 210.094px\">Example generation<\/td>\n<td style=\"height: 52px;width: 117.375px\"><\/td>\n<td style=\"height: 52px;width: 83.25px\">\u221a<\/td>\n<\/tr>\n<tr style=\"height: 52px\">\n<td style=\"height: 52px;width: 210.094px\">Assessment generation<\/td>\n<td style=\"height: 52px;width: 117.375px\"><\/td>\n<td style=\"height: 52px;width: 83.25px\">\u221a<\/td>\n<\/tr>\n<tr style=\"height: 52px\">\n<td style=\"height: 52px;width: 210.094px\">Assessment approval<\/td>\n<td style=\"height: 52px;width: 117.375px\">\u221a<\/td>\n<td style=\"height: 52px;width: 83.25px\"><\/td>\n<\/tr>\n<tr style=\"height: 52px\">\n<td style=\"height: 52px;width: 210.094px\">Accessibility review<\/td>\n<td style=\"height: 52px;width: 117.375px\">\u221a<\/td>\n<td style=\"height: 52px;width: 83.25px\">\u221a<\/td>\n<\/tr>\n<tr style=\"height: 52px\">\n<td style=\"height: 52px;width: 210.094px\">Quality assurance<\/td>\n<td style=\"height: 52px;width: 117.375px\">\u221a<\/td>\n<td style=\"height: 52px;width: 83.25px\"><\/td>\n<\/tr>\n<tr style=\"height: 52px\">\n<td style=\"height: 52px;width: 210.094px\">Academic integrity policies<\/td>\n<td style=\"height: 52px;width: 117.375px\">\u221a<\/td>\n<td style=\"height: 52px;width: 83.25px\"><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The participation role in each course design task for humans and AI.<\/p>\n<h2>The Guiding Principles\u00a0to use AI as a Course Design Partner<\/h2>\n<p>The fundamental guiding\u00a0principle\u00a0is pedagogical intentionality driven by human-in-the-loop\u00a0orchestration.\u00a0\u00a0Technology must never dictate\u00a0the learning path; instead, the human educator defines the core vision, learning goals, and emotional framework of\u00a0the course.\u00a0 AI serves strictly as an accelerant to scale content, draft structural assets, and analyze data.<\/p>\n<p>To use this principle, designers must apply rigorous human oversight at every step of the development loop.\u00a0 This active involvement ensures that all automated outputs undergo deep evaluation for academic accuracy,\u00a0data privacy, structural alignment, and cultural\u00a0inclusivity.\u00a0 The human educator should be\u00a0the final gatekeeper, the partnership leverages machine efficiency while preserving the\u00a0unique voice,\u00a0professional judgment, and empathy necessary\u00a0to\u00a0inspire student success.<\/p>\n","protected":false},"author":3,"menu_order":2,"template":"","meta":{"pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":["wcheng"],"pb_section_license":""},"chapter-type":[],"contributor":[82],"license":[],"class_list":["post-121","chapter","type-chapter","status-publish","hentry","contributor-wcheng"],"part":110,"_links":{"self":[{"href":"https:\/\/pressbooks.ulib.csuohio.edu\/usingaiinacademics\/wp-json\/pressbooks\/v2\/chapters\/121","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pressbooks.ulib.csuohio.edu\/usingaiinacademics\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/pressbooks.ulib.csuohio.edu\/usingaiinacademics\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/pressbooks.ulib.csuohio.edu\/usingaiinacademics\/wp-json\/wp\/v2\/users\/3"}],"version-history":[{"count":7,"href":"https:\/\/pressbooks.ulib.csuohio.edu\/usingaiinacademics\/wp-json\/pressbooks\/v2\/chapters\/121\/revisions"}],"predecessor-version":[{"id":223,"href":"https:\/\/pressbooks.ulib.csuohio.edu\/usingaiinacademics\/wp-json\/pressbooks\/v2\/chapters\/121\/revisions\/223"}],"part":[{"href":"https:\/\/pressbooks.ulib.csuohio.edu\/usingaiinacademics\/wp-json\/pressbooks\/v2\/parts\/110"}],"metadata":[{"href":"https:\/\/pressbooks.ulib.csuohio.edu\/usingaiinacademics\/wp-json\/pressbooks\/v2\/chapters\/121\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/pressbooks.ulib.csuohio.edu\/usingaiinacademics\/wp-json\/wp\/v2\/media?parent=121"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/pressbooks.ulib.csuohio.edu\/usingaiinacademics\/wp-json\/pressbooks\/v2\/chapter-type?post=121"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/pressbooks.ulib.csuohio.edu\/usingaiinacademics\/wp-json\/wp\/v2\/contributor?post=121"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/pressbooks.ulib.csuohio.edu\/usingaiinacademics\/wp-json\/wp\/v2\/license?post=121"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}